Instructions to use NakshJain/mamba-790m-resoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NakshJain/mamba-790m-resoning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("state-spaces/mamba-790m-hf") model = PeftModel.from_pretrained(base_model, "NakshJain/mamba-790m-resoning") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- README.md +202 -0
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +214 -0
- trainer_state.json +1492 -0
- training_args.bin +3 -0
README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: state-spaces/mamba-790m-hf
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.13.2
|
adapter_config.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "state-spaces/mamba-790m-hf",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 32,
|
| 14 |
+
"lora_dropout": 0.05,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 32,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"in_proj",
|
| 24 |
+
"x_proj",
|
| 25 |
+
"dt_proj",
|
| 26 |
+
"out_proj"
|
| 27 |
+
],
|
| 28 |
+
"task_type": "CAUSAL_LM",
|
| 29 |
+
"use_dora": false,
|
| 30 |
+
"use_rslora": false
|
| 31 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e2ab7e3187a5c2e57f5c0401a098a13dd2aa7dbb5cbe9768c98474a13e8ad3cc
|
| 3 |
+
size 114674136
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6e6c42ec0de73015da6bf36b85eaf6ee21a03165056762375af40510a5a620db
|
| 3 |
+
size 94454091
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:03a01c3a29763d0d67ef8eef7675c536f2121565a5034417c32ef93fb9ca024c
|
| 3 |
+
size 14645
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f380c4ac6a18bc848da342a46f42861ea54206294b1630bf78ce323046fcfaf7
|
| 3 |
+
size 1465
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|endoftext|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|endoftext|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "<|endoftext|>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<|endoftext|>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,214 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": false,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"0": {
|
| 7 |
+
"content": "<|endoftext|>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"1": {
|
| 15 |
+
"content": "<|padding|>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"50254": {
|
| 23 |
+
"content": " ",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": true,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": false
|
| 29 |
+
},
|
| 30 |
+
"50255": {
|
| 31 |
+
"content": " ",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": true,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": false
|
| 37 |
+
},
|
| 38 |
+
"50256": {
|
| 39 |
+
"content": " ",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": true,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": false,
|
| 44 |
+
"special": false
|
| 45 |
+
},
|
| 46 |
+
"50257": {
|
| 47 |
+
"content": " ",
|
| 48 |
+
"lstrip": false,
|
| 49 |
+
"normalized": true,
|
| 50 |
+
"rstrip": false,
|
| 51 |
+
"single_word": false,
|
| 52 |
+
"special": false
|
| 53 |
+
},
|
| 54 |
+
"50258": {
|
| 55 |
+
"content": " ",
|
| 56 |
+
"lstrip": false,
|
| 57 |
+
"normalized": true,
|
| 58 |
+
"rstrip": false,
|
| 59 |
+
"single_word": false,
|
| 60 |
+
"special": false
|
| 61 |
+
},
|
| 62 |
+
"50259": {
|
| 63 |
+
"content": " ",
|
| 64 |
+
"lstrip": false,
|
| 65 |
+
"normalized": true,
|
| 66 |
+
"rstrip": false,
|
| 67 |
+
"single_word": false,
|
| 68 |
+
"special": false
|
| 69 |
+
},
|
| 70 |
+
"50260": {
|
| 71 |
+
"content": " ",
|
| 72 |
+
"lstrip": false,
|
| 73 |
+
"normalized": true,
|
| 74 |
+
"rstrip": false,
|
| 75 |
+
"single_word": false,
|
| 76 |
+
"special": false
|
| 77 |
+
},
|
| 78 |
+
"50261": {
|
| 79 |
+
"content": " ",
|
| 80 |
+
"lstrip": false,
|
| 81 |
+
"normalized": true,
|
| 82 |
+
"rstrip": false,
|
| 83 |
+
"single_word": false,
|
| 84 |
+
"special": false
|
| 85 |
+
},
|
| 86 |
+
"50262": {
|
| 87 |
+
"content": " ",
|
| 88 |
+
"lstrip": false,
|
| 89 |
+
"normalized": true,
|
| 90 |
+
"rstrip": false,
|
| 91 |
+
"single_word": false,
|
| 92 |
+
"special": false
|
| 93 |
+
},
|
| 94 |
+
"50263": {
|
| 95 |
+
"content": " ",
|
| 96 |
+
"lstrip": false,
|
| 97 |
+
"normalized": true,
|
| 98 |
+
"rstrip": false,
|
| 99 |
+
"single_word": false,
|
| 100 |
+
"special": false
|
| 101 |
+
},
|
| 102 |
+
"50264": {
|
| 103 |
+
"content": " ",
|
| 104 |
+
"lstrip": false,
|
| 105 |
+
"normalized": true,
|
| 106 |
+
"rstrip": false,
|
| 107 |
+
"single_word": false,
|
| 108 |
+
"special": false
|
| 109 |
+
},
|
| 110 |
+
"50265": {
|
| 111 |
+
"content": " ",
|
| 112 |
+
"lstrip": false,
|
| 113 |
+
"normalized": true,
|
| 114 |
+
"rstrip": false,
|
| 115 |
+
"single_word": false,
|
| 116 |
+
"special": false
|
| 117 |
+
},
|
| 118 |
+
"50266": {
|
| 119 |
+
"content": " ",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": true,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false,
|
| 124 |
+
"special": false
|
| 125 |
+
},
|
| 126 |
+
"50267": {
|
| 127 |
+
"content": " ",
|
| 128 |
+
"lstrip": false,
|
| 129 |
+
"normalized": true,
|
| 130 |
+
"rstrip": false,
|
| 131 |
+
"single_word": false,
|
| 132 |
+
"special": false
|
| 133 |
+
},
|
| 134 |
+
"50268": {
|
| 135 |
+
"content": " ",
|
| 136 |
+
"lstrip": false,
|
| 137 |
+
"normalized": true,
|
| 138 |
+
"rstrip": false,
|
| 139 |
+
"single_word": false,
|
| 140 |
+
"special": false
|
| 141 |
+
},
|
| 142 |
+
"50269": {
|
| 143 |
+
"content": " ",
|
| 144 |
+
"lstrip": false,
|
| 145 |
+
"normalized": true,
|
| 146 |
+
"rstrip": false,
|
| 147 |
+
"single_word": false,
|
| 148 |
+
"special": false
|
| 149 |
+
},
|
| 150 |
+
"50270": {
|
| 151 |
+
"content": " ",
|
| 152 |
+
"lstrip": false,
|
| 153 |
+
"normalized": true,
|
| 154 |
+
"rstrip": false,
|
| 155 |
+
"single_word": false,
|
| 156 |
+
"special": false
|
| 157 |
+
},
|
| 158 |
+
"50271": {
|
| 159 |
+
"content": " ",
|
| 160 |
+
"lstrip": false,
|
| 161 |
+
"normalized": true,
|
| 162 |
+
"rstrip": false,
|
| 163 |
+
"single_word": false,
|
| 164 |
+
"special": false
|
| 165 |
+
},
|
| 166 |
+
"50272": {
|
| 167 |
+
"content": " ",
|
| 168 |
+
"lstrip": false,
|
| 169 |
+
"normalized": true,
|
| 170 |
+
"rstrip": false,
|
| 171 |
+
"single_word": false,
|
| 172 |
+
"special": false
|
| 173 |
+
},
|
| 174 |
+
"50273": {
|
| 175 |
+
"content": " ",
|
| 176 |
+
"lstrip": false,
|
| 177 |
+
"normalized": true,
|
| 178 |
+
"rstrip": false,
|
| 179 |
+
"single_word": false,
|
| 180 |
+
"special": false
|
| 181 |
+
},
|
| 182 |
+
"50274": {
|
| 183 |
+
"content": " ",
|
| 184 |
+
"lstrip": false,
|
| 185 |
+
"normalized": true,
|
| 186 |
+
"rstrip": false,
|
| 187 |
+
"single_word": false,
|
| 188 |
+
"special": false
|
| 189 |
+
},
|
| 190 |
+
"50275": {
|
| 191 |
+
"content": " ",
|
| 192 |
+
"lstrip": false,
|
| 193 |
+
"normalized": true,
|
| 194 |
+
"rstrip": false,
|
| 195 |
+
"single_word": false,
|
| 196 |
+
"special": false
|
| 197 |
+
},
|
| 198 |
+
"50276": {
|
| 199 |
+
"content": " ",
|
| 200 |
+
"lstrip": false,
|
| 201 |
+
"normalized": true,
|
| 202 |
+
"rstrip": false,
|
| 203 |
+
"single_word": false,
|
| 204 |
+
"special": false
|
| 205 |
+
}
|
| 206 |
+
},
|
| 207 |
+
"bos_token": "<|endoftext|>",
|
| 208 |
+
"clean_up_tokenization_spaces": true,
|
| 209 |
+
"eos_token": "<|endoftext|>",
|
| 210 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 211 |
+
"pad_token": "<|endoftext|>",
|
| 212 |
+
"tokenizer_class": "GPTNeoXTokenizer",
|
| 213 |
+
"unk_token": "<|endoftext|>"
|
| 214 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1492 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 1.184820294380188,
|
| 3 |
+
"best_model_checkpoint": "./mamba-790m-phase2/checkpoint-2850",
|
| 4 |
+
"epoch": 1.2324324324324325,
|
| 5 |
+
"eval_steps": 50,
|
| 6 |
+
"global_step": 2850,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.008648648648648649,
|
| 13 |
+
"grad_norm": 0.13316184282302856,
|
| 14 |
+
"learning_rate": 2.158273381294964e-06,
|
| 15 |
+
"loss": 1.3731,
|
| 16 |
+
"step": 20
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.017297297297297298,
|
| 20 |
+
"grad_norm": 0.12288903445005417,
|
| 21 |
+
"learning_rate": 4.316546762589928e-06,
|
| 22 |
+
"loss": 1.5117,
|
| 23 |
+
"step": 40
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.021621621621621623,
|
| 27 |
+
"eval_loss": 1.5164753198623657,
|
| 28 |
+
"eval_runtime": 156.2707,
|
| 29 |
+
"eval_samples_per_second": 9.599,
|
| 30 |
+
"eval_steps_per_second": 2.4,
|
| 31 |
+
"step": 50
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.025945945945945945,
|
| 35 |
+
"grad_norm": 0.15546943247318268,
|
| 36 |
+
"learning_rate": 6.474820143884892e-06,
|
| 37 |
+
"loss": 1.5425,
|
| 38 |
+
"step": 60
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.034594594594594595,
|
| 42 |
+
"grad_norm": 0.13446089625358582,
|
| 43 |
+
"learning_rate": 8.633093525179856e-06,
|
| 44 |
+
"loss": 1.5552,
|
| 45 |
+
"step": 80
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.043243243243243246,
|
| 49 |
+
"grad_norm": 0.1574675589799881,
|
| 50 |
+
"learning_rate": 1.079136690647482e-05,
|
| 51 |
+
"loss": 1.4,
|
| 52 |
+
"step": 100
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.043243243243243246,
|
| 56 |
+
"eval_loss": 1.511157751083374,
|
| 57 |
+
"eval_runtime": 156.5135,
|
| 58 |
+
"eval_samples_per_second": 9.584,
|
| 59 |
+
"eval_steps_per_second": 2.396,
|
| 60 |
+
"step": 100
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 0.05189189189189189,
|
| 64 |
+
"grad_norm": 0.1704365462064743,
|
| 65 |
+
"learning_rate": 1.2949640287769784e-05,
|
| 66 |
+
"loss": 1.3642,
|
| 67 |
+
"step": 120
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"epoch": 0.06054054054054054,
|
| 71 |
+
"grad_norm": 0.24820564687252045,
|
| 72 |
+
"learning_rate": 1.4999998160049665e-05,
|
| 73 |
+
"loss": 1.2921,
|
| 74 |
+
"step": 140
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 0.06486486486486487,
|
| 78 |
+
"eval_loss": 1.472154140472412,
|
| 79 |
+
"eval_runtime": 156.2248,
|
| 80 |
+
"eval_samples_per_second": 9.602,
|
| 81 |
+
"eval_steps_per_second": 2.4,
|
| 82 |
+
"step": 150
|
| 83 |
+
},
|
| 84 |
+
{
|
| 85 |
+
"epoch": 0.06918918918918919,
|
| 86 |
+
"grad_norm": 0.19965757429599762,
|
| 87 |
+
"learning_rate": 1.4999188596499784e-05,
|
| 88 |
+
"loss": 1.3836,
|
| 89 |
+
"step": 160
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"epoch": 0.07783783783783783,
|
| 93 |
+
"grad_norm": 0.1957588493824005,
|
| 94 |
+
"learning_rate": 1.4996907255939673e-05,
|
| 95 |
+
"loss": 1.3328,
|
| 96 |
+
"step": 180
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"epoch": 0.08648648648648649,
|
| 100 |
+
"grad_norm": 0.2037293016910553,
|
| 101 |
+
"learning_rate": 1.4993154586101044e-05,
|
| 102 |
+
"loss": 1.4367,
|
| 103 |
+
"step": 200
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"epoch": 0.08648648648648649,
|
| 107 |
+
"eval_loss": 1.4281501770019531,
|
| 108 |
+
"eval_runtime": 156.5874,
|
| 109 |
+
"eval_samples_per_second": 9.579,
|
| 110 |
+
"eval_steps_per_second": 2.395,
|
| 111 |
+
"step": 200
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.09513513513513513,
|
| 115 |
+
"grad_norm": 0.2824411988258362,
|
| 116 |
+
"learning_rate": 1.4987931323476007e-05,
|
| 117 |
+
"loss": 1.4272,
|
| 118 |
+
"step": 220
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"epoch": 0.10378378378378378,
|
| 122 |
+
"grad_norm": 0.30133140087127686,
|
| 123 |
+
"learning_rate": 1.4981238493172506e-05,
|
| 124 |
+
"loss": 1.2994,
|
| 125 |
+
"step": 240
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 0.10810810810810811,
|
| 129 |
+
"eval_loss": 1.3918442726135254,
|
| 130 |
+
"eval_runtime": 156.3152,
|
| 131 |
+
"eval_samples_per_second": 9.596,
|
| 132 |
+
"eval_steps_per_second": 2.399,
|
| 133 |
+
"step": 250
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"epoch": 0.11243243243243244,
|
| 137 |
+
"grad_norm": 0.22853460907936096,
|
| 138 |
+
"learning_rate": 1.4973077408713158e-05,
|
| 139 |
+
"loss": 1.3668,
|
| 140 |
+
"step": 260
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 0.12108108108108108,
|
| 144 |
+
"grad_norm": 0.25242647528648376,
|
| 145 |
+
"learning_rate": 1.4963449671777435e-05,
|
| 146 |
+
"loss": 1.3376,
|
| 147 |
+
"step": 280
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 0.12972972972972974,
|
| 151 |
+
"grad_norm": 0.2533341348171234,
|
| 152 |
+
"learning_rate": 1.4952357171887349e-05,
|
| 153 |
+
"loss": 1.3953,
|
| 154 |
+
"step": 300
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"epoch": 0.12972972972972974,
|
| 158 |
+
"eval_loss": 1.3653450012207031,
|
| 159 |
+
"eval_runtime": 156.5177,
|
| 160 |
+
"eval_samples_per_second": 9.584,
|
| 161 |
+
"eval_steps_per_second": 2.396,
|
| 162 |
+
"step": 300
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 0.13837837837837838,
|
| 166 |
+
"grad_norm": 0.4832008481025696,
|
| 167 |
+
"learning_rate": 1.4939802086036593e-05,
|
| 168 |
+
"loss": 1.4049,
|
| 169 |
+
"step": 320
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"epoch": 0.14702702702702702,
|
| 173 |
+
"grad_norm": 0.27169403433799744,
|
| 174 |
+
"learning_rate": 1.4925786878263313e-05,
|
| 175 |
+
"loss": 1.4256,
|
| 176 |
+
"step": 340
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 0.15135135135135136,
|
| 180 |
+
"eval_loss": 1.3452147245407104,
|
| 181 |
+
"eval_runtime": 156.1759,
|
| 182 |
+
"eval_samples_per_second": 9.605,
|
| 183 |
+
"eval_steps_per_second": 2.401,
|
| 184 |
+
"step": 350
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.15567567567567567,
|
| 188 |
+
"grad_norm": 0.42071032524108887,
|
| 189 |
+
"learning_rate": 1.4910314299166496e-05,
|
| 190 |
+
"loss": 1.3099,
|
| 191 |
+
"step": 360
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.1643243243243243,
|
| 195 |
+
"grad_norm": 0.37401214241981506,
|
| 196 |
+
"learning_rate": 1.4893387385366164e-05,
|
| 197 |
+
"loss": 1.3174,
|
| 198 |
+
"step": 380
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.17297297297297298,
|
| 202 |
+
"grad_norm": 0.36374762654304504,
|
| 203 |
+
"learning_rate": 1.4875009458907393e-05,
|
| 204 |
+
"loss": 1.325,
|
| 205 |
+
"step": 400
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.17297297297297298,
|
| 209 |
+
"eval_loss": 1.3278440237045288,
|
| 210 |
+
"eval_runtime": 155.9619,
|
| 211 |
+
"eval_samples_per_second": 9.618,
|
| 212 |
+
"eval_steps_per_second": 2.404,
|
| 213 |
+
"step": 400
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.18162162162162163,
|
| 217 |
+
"grad_norm": 0.44585686922073364,
|
| 218 |
+
"learning_rate": 1.4855184126608352e-05,
|
| 219 |
+
"loss": 1.2749,
|
| 220 |
+
"step": 420
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.19027027027027027,
|
| 224 |
+
"grad_norm": 0.40485116839408875,
|
| 225 |
+
"learning_rate": 1.4833915279352421e-05,
|
| 226 |
+
"loss": 1.1299,
|
| 227 |
+
"step": 440
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.1945945945945946,
|
| 231 |
+
"eval_loss": 1.3141183853149414,
|
| 232 |
+
"eval_runtime": 156.3105,
|
| 233 |
+
"eval_samples_per_second": 9.596,
|
| 234 |
+
"eval_steps_per_second": 2.399,
|
| 235 |
+
"step": 450
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
+
"epoch": 0.1989189189189189,
|
| 239 |
+
"grad_norm": 0.4696143865585327,
|
| 240 |
+
"learning_rate": 1.4811207091324587e-05,
|
| 241 |
+
"loss": 1.1933,
|
| 242 |
+
"step": 460
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 0.20756756756756756,
|
| 246 |
+
"grad_norm": 0.6063587069511414,
|
| 247 |
+
"learning_rate": 1.478706401919221e-05,
|
| 248 |
+
"loss": 1.2983,
|
| 249 |
+
"step": 480
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.21621621621621623,
|
| 253 |
+
"grad_norm": 0.4177221953868866,
|
| 254 |
+
"learning_rate": 1.4761490801230385e-05,
|
| 255 |
+
"loss": 1.2339,
|
| 256 |
+
"step": 500
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"epoch": 0.21621621621621623,
|
| 260 |
+
"eval_loss": 1.302538275718689,
|
| 261 |
+
"eval_runtime": 156.5384,
|
| 262 |
+
"eval_samples_per_second": 9.582,
|
| 263 |
+
"eval_steps_per_second": 2.396,
|
| 264 |
+
"step": 500
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 0.22486486486486487,
|
| 268 |
+
"grad_norm": 0.4580596089363098,
|
| 269 |
+
"learning_rate": 1.4734492456391998e-05,
|
| 270 |
+
"loss": 1.3529,
|
| 271 |
+
"step": 520
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"epoch": 0.23351351351351352,
|
| 275 |
+
"grad_norm": 0.4583284556865692,
|
| 276 |
+
"learning_rate": 1.470607428332273e-05,
|
| 277 |
+
"loss": 1.3169,
|
| 278 |
+
"step": 540
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 0.23783783783783785,
|
| 282 |
+
"eval_loss": 1.2932534217834473,
|
| 283 |
+
"eval_runtime": 156.5697,
|
| 284 |
+
"eval_samples_per_second": 9.58,
|
| 285 |
+
"eval_steps_per_second": 2.395,
|
| 286 |
+
"step": 550
|
| 287 |
+
},
|
| 288 |
+
{
|
| 289 |
+
"epoch": 0.24216216216216216,
|
| 290 |
+
"grad_norm": 0.4312450885772705,
|
| 291 |
+
"learning_rate": 1.4676241859321143e-05,
|
| 292 |
+
"loss": 1.1324,
|
| 293 |
+
"step": 560
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 0.2508108108108108,
|
| 297 |
+
"grad_norm": 0.5200898051261902,
|
| 298 |
+
"learning_rate": 1.4645001039244101e-05,
|
| 299 |
+
"loss": 1.2754,
|
| 300 |
+
"step": 580
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 0.2594594594594595,
|
| 304 |
+
"grad_norm": 0.5838780403137207,
|
| 305 |
+
"learning_rate": 1.4612357954357695e-05,
|
| 306 |
+
"loss": 1.2903,
|
| 307 |
+
"step": 600
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"epoch": 0.2594594594594595,
|
| 311 |
+
"eval_loss": 1.284968376159668,
|
| 312 |
+
"eval_runtime": 156.4193,
|
| 313 |
+
"eval_samples_per_second": 9.59,
|
| 314 |
+
"eval_steps_per_second": 2.397,
|
| 315 |
+
"step": 600
|
| 316 |
+
},
|
| 317 |
+
{
|
| 318 |
+
"epoch": 0.2681081081081081,
|
| 319 |
+
"grad_norm": 0.3660845458507538,
|
| 320 |
+
"learning_rate": 1.4578319011133939e-05,
|
| 321 |
+
"loss": 1.1267,
|
| 322 |
+
"step": 620
|
| 323 |
+
},
|
| 324 |
+
{
|
| 325 |
+
"epoch": 0.27675675675675676,
|
| 326 |
+
"grad_norm": 0.4065239429473877,
|
| 327 |
+
"learning_rate": 1.454289088999345e-05,
|
| 328 |
+
"loss": 1.2034,
|
| 329 |
+
"step": 640
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 0.2810810810810811,
|
| 333 |
+
"eval_loss": 1.2779653072357178,
|
| 334 |
+
"eval_runtime": 156.5245,
|
| 335 |
+
"eval_samples_per_second": 9.583,
|
| 336 |
+
"eval_steps_per_second": 2.396,
|
| 337 |
+
"step": 650
|
| 338 |
+
},
|
| 339 |
+
{
|
| 340 |
+
"epoch": 0.28540540540540543,
|
| 341 |
+
"grad_norm": 0.4448115825653076,
|
| 342 |
+
"learning_rate": 1.4506080543994352e-05,
|
| 343 |
+
"loss": 1.1839,
|
| 344 |
+
"step": 660
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 0.29405405405405405,
|
| 348 |
+
"grad_norm": 0.741157054901123,
|
| 349 |
+
"learning_rate": 1.4467895197467692e-05,
|
| 350 |
+
"loss": 1.2143,
|
| 351 |
+
"step": 680
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 0.3027027027027027,
|
| 355 |
+
"grad_norm": 0.45047101378440857,
|
| 356 |
+
"learning_rate": 1.4428342344599592e-05,
|
| 357 |
+
"loss": 1.2868,
|
| 358 |
+
"step": 700
|
| 359 |
+
},
|
| 360 |
+
{
|
| 361 |
+
"epoch": 0.3027027027027027,
|
| 362 |
+
"eval_loss": 1.2726409435272217,
|
| 363 |
+
"eval_runtime": 156.3492,
|
| 364 |
+
"eval_samples_per_second": 9.594,
|
| 365 |
+
"eval_steps_per_second": 2.398,
|
| 366 |
+
"step": 700
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.31135135135135134,
|
| 370 |
+
"grad_norm": 0.4149288535118103,
|
| 371 |
+
"learning_rate": 1.4387429747960472e-05,
|
| 372 |
+
"loss": 1.1808,
|
| 373 |
+
"step": 720
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.32,
|
| 377 |
+
"grad_norm": 0.5024465322494507,
|
| 378 |
+
"learning_rate": 1.4345165436981567e-05,
|
| 379 |
+
"loss": 1.1616,
|
| 380 |
+
"step": 740
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.32432432432432434,
|
| 384 |
+
"eval_loss": 1.2668416500091553,
|
| 385 |
+
"eval_runtime": 156.232,
|
| 386 |
+
"eval_samples_per_second": 9.601,
|
| 387 |
+
"eval_steps_per_second": 2.4,
|
| 388 |
+
"step": 750
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.3286486486486486,
|
| 392 |
+
"grad_norm": 0.5940514802932739,
|
| 393 |
+
"learning_rate": 1.430155770637909e-05,
|
| 394 |
+
"loss": 1.2955,
|
| 395 |
+
"step": 760
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.3372972972972973,
|
| 399 |
+
"grad_norm": 0.4798080623149872,
|
| 400 |
+
"learning_rate": 1.4256615114526333e-05,
|
| 401 |
+
"loss": 1.1858,
|
| 402 |
+
"step": 780
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.34594594594594597,
|
| 406 |
+
"grad_norm": 0.3747268319129944,
|
| 407 |
+
"learning_rate": 1.4210346481774007e-05,
|
| 408 |
+
"loss": 1.2592,
|
| 409 |
+
"step": 800
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.34594594594594597,
|
| 413 |
+
"eval_loss": 1.261027216911316,
|
| 414 |
+
"eval_runtime": 156.3223,
|
| 415 |
+
"eval_samples_per_second": 9.596,
|
| 416 |
+
"eval_steps_per_second": 2.399,
|
| 417 |
+
"step": 800
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 0.3545945945945946,
|
| 421 |
+
"grad_norm": 0.6627951860427856,
|
| 422 |
+
"learning_rate": 1.4162760888719174e-05,
|
| 423 |
+
"loss": 1.1585,
|
| 424 |
+
"step": 820
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 0.36324324324324325,
|
| 428 |
+
"grad_norm": 0.6270909309387207,
|
| 429 |
+
"learning_rate": 1.4113867674423123e-05,
|
| 430 |
+
"loss": 1.2351,
|
| 431 |
+
"step": 840
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 0.3675675675675676,
|
| 435 |
+
"eval_loss": 1.2562013864517212,
|
| 436 |
+
"eval_runtime": 156.3737,
|
| 437 |
+
"eval_samples_per_second": 9.592,
|
| 438 |
+
"eval_steps_per_second": 2.398,
|
| 439 |
+
"step": 850
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"epoch": 0.37189189189189187,
|
| 443 |
+
"grad_norm": 0.5605448484420776,
|
| 444 |
+
"learning_rate": 1.4063676434578483e-05,
|
| 445 |
+
"loss": 1.2151,
|
| 446 |
+
"step": 860
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 0.38054054054054054,
|
| 450 |
+
"grad_norm": 0.4705483317375183,
|
| 451 |
+
"learning_rate": 1.4012197019626004e-05,
|
| 452 |
+
"loss": 1.1309,
|
| 453 |
+
"step": 880
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 0.3891891891891892,
|
| 457 |
+
"grad_norm": 0.5667669773101807,
|
| 458 |
+
"learning_rate": 1.3959439532821314e-05,
|
| 459 |
+
"loss": 1.2531,
|
| 460 |
+
"step": 900
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"epoch": 0.3891891891891892,
|
| 464 |
+
"eval_loss": 1.2514050006866455,
|
| 465 |
+
"eval_runtime": 156.3146,
|
| 466 |
+
"eval_samples_per_second": 9.596,
|
| 467 |
+
"eval_steps_per_second": 2.399,
|
| 468 |
+
"step": 900
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
"epoch": 0.3978378378378378,
|
| 472 |
+
"grad_norm": 0.6878731846809387,
|
| 473 |
+
"learning_rate": 1.3905414328252085e-05,
|
| 474 |
+
"loss": 1.2473,
|
| 475 |
+
"step": 920
|
| 476 |
+
},
|
| 477 |
+
{
|
| 478 |
+
"epoch": 0.4064864864864865,
|
| 479 |
+
"grad_norm": 0.799188494682312,
|
| 480 |
+
"learning_rate": 1.3850132008805958e-05,
|
| 481 |
+
"loss": 1.1098,
|
| 482 |
+
"step": 940
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 0.41081081081081083,
|
| 486 |
+
"eval_loss": 1.2472807168960571,
|
| 487 |
+
"eval_runtime": 156.3138,
|
| 488 |
+
"eval_samples_per_second": 9.596,
|
| 489 |
+
"eval_steps_per_second": 2.399,
|
| 490 |
+
"step": 950
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"epoch": 0.4151351351351351,
|
| 494 |
+
"grad_norm": 0.5942118763923645,
|
| 495 |
+
"learning_rate": 1.379360342408963e-05,
|
| 496 |
+
"loss": 1.1993,
|
| 497 |
+
"step": 960
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 0.4237837837837838,
|
| 501 |
+
"grad_norm": 0.44030797481536865,
|
| 502 |
+
"learning_rate": 1.3735839668299537e-05,
|
| 503 |
+
"loss": 1.2577,
|
| 504 |
+
"step": 980
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 0.43243243243243246,
|
| 508 |
+
"grad_norm": 0.5364145040512085,
|
| 509 |
+
"learning_rate": 1.3676852078044528e-05,
|
| 510 |
+
"loss": 1.209,
|
| 511 |
+
"step": 1000
|
| 512 |
+
},
|
| 513 |
+
{
|
| 514 |
+
"epoch": 0.43243243243243246,
|
| 515 |
+
"eval_loss": 1.2433239221572876,
|
| 516 |
+
"eval_runtime": 156.3683,
|
| 517 |
+
"eval_samples_per_second": 9.593,
|
| 518 |
+
"eval_steps_per_second": 2.398,
|
| 519 |
+
"step": 1000
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"epoch": 0.4410810810810811,
|
| 523 |
+
"grad_norm": 0.7929672598838806,
|
| 524 |
+
"learning_rate": 1.3616652230120962e-05,
|
| 525 |
+
"loss": 1.2357,
|
| 526 |
+
"step": 1020
|
| 527 |
+
},
|
| 528 |
+
{
|
| 529 |
+
"epoch": 0.44972972972972974,
|
| 530 |
+
"grad_norm": 0.7581718564033508,
|
| 531 |
+
"learning_rate": 1.3555251939240659e-05,
|
| 532 |
+
"loss": 1.2092,
|
| 533 |
+
"step": 1040
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 0.4540540540540541,
|
| 537 |
+
"eval_loss": 1.239459753036499,
|
| 538 |
+
"eval_runtime": 156.2938,
|
| 539 |
+
"eval_samples_per_second": 9.597,
|
| 540 |
+
"eval_steps_per_second": 2.399,
|
| 541 |
+
"step": 1050
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.45837837837837836,
|
| 545 |
+
"grad_norm": 0.5872713327407837,
|
| 546 |
+
"learning_rate": 1.3492663255712187e-05,
|
| 547 |
+
"loss": 1.2605,
|
| 548 |
+
"step": 1060
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.46702702702702703,
|
| 552 |
+
"grad_norm": 0.5056009292602539,
|
| 553 |
+
"learning_rate": 1.3428898463075862e-05,
|
| 554 |
+
"loss": 1.2838,
|
| 555 |
+
"step": 1080
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.4756756756756757,
|
| 559 |
+
"grad_norm": 0.5987468957901001,
|
| 560 |
+
"learning_rate": 1.3363970075693032e-05,
|
| 561 |
+
"loss": 1.2619,
|
| 562 |
+
"step": 1100
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.4756756756756757,
|
| 566 |
+
"eval_loss": 1.2360332012176514,
|
| 567 |
+
"eval_runtime": 156.4955,
|
| 568 |
+
"eval_samples_per_second": 9.585,
|
| 569 |
+
"eval_steps_per_second": 2.396,
|
| 570 |
+
"step": 1100
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.4843243243243243,
|
| 574 |
+
"grad_norm": 0.6014208197593689,
|
| 575 |
+
"learning_rate": 1.3297890836290004e-05,
|
| 576 |
+
"loss": 1.2276,
|
| 577 |
+
"step": 1120
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.492972972972973,
|
| 581 |
+
"grad_norm": 0.7187291383743286,
|
| 582 |
+
"learning_rate": 1.3230673713457208e-05,
|
| 583 |
+
"loss": 1.1775,
|
| 584 |
+
"step": 1140
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.4972972972972973,
|
| 588 |
+
"eval_loss": 1.2334262132644653,
|
| 589 |
+
"eval_runtime": 156.3371,
|
| 590 |
+
"eval_samples_per_second": 9.595,
|
| 591 |
+
"eval_steps_per_second": 2.399,
|
| 592 |
+
"step": 1150
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 0.5016216216216216,
|
| 596 |
+
"grad_norm": 0.6566280722618103,
|
| 597 |
+
"learning_rate": 1.3162331899103977e-05,
|
| 598 |
+
"loss": 1.2047,
|
| 599 |
+
"step": 1160
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 0.5102702702702703,
|
| 603 |
+
"grad_norm": 0.8335544466972351,
|
| 604 |
+
"learning_rate": 1.3092878805869546e-05,
|
| 605 |
+
"loss": 1.1767,
|
| 606 |
+
"step": 1180
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 0.518918918918919,
|
| 610 |
+
"grad_norm": 0.6835708022117615,
|
| 611 |
+
"learning_rate": 1.3022328064490712e-05,
|
| 612 |
+
"loss": 1.1629,
|
| 613 |
+
"step": 1200
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 0.518918918918919,
|
| 617 |
+
"eval_loss": 1.2302730083465576,
|
| 618 |
+
"eval_runtime": 156.5356,
|
| 619 |
+
"eval_samples_per_second": 9.582,
|
| 620 |
+
"eval_steps_per_second": 2.396,
|
| 621 |
+
"step": 1200
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"epoch": 0.5275675675675676,
|
| 625 |
+
"grad_norm": 0.5832236409187317,
|
| 626 |
+
"learning_rate": 1.2950693521126676e-05,
|
| 627 |
+
"loss": 1.1748,
|
| 628 |
+
"step": 1220
|
| 629 |
+
},
|
| 630 |
+
{
|
| 631 |
+
"epoch": 0.5362162162162162,
|
| 632 |
+
"grad_norm": 0.6758794188499451,
|
| 633 |
+
"learning_rate": 1.2877989234641634e-05,
|
| 634 |
+
"loss": 1.1371,
|
| 635 |
+
"step": 1240
|
| 636 |
+
},
|
| 637 |
+
{
|
| 638 |
+
"epoch": 0.5405405405405406,
|
| 639 |
+
"eval_loss": 1.2266525030136108,
|
| 640 |
+
"eval_runtime": 156.281,
|
| 641 |
+
"eval_samples_per_second": 9.598,
|
| 642 |
+
"eval_steps_per_second": 2.4,
|
| 643 |
+
"step": 1250
|
| 644 |
+
},
|
| 645 |
+
{
|
| 646 |
+
"epoch": 0.5448648648648649,
|
| 647 |
+
"grad_norm": 0.5459420680999756,
|
| 648 |
+
"learning_rate": 1.2804229473845609e-05,
|
| 649 |
+
"loss": 1.2151,
|
| 650 |
+
"step": 1260
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 0.5535135135135135,
|
| 654 |
+
"grad_norm": 0.5503604412078857,
|
| 655 |
+
"learning_rate": 1.2729428714694075e-05,
|
| 656 |
+
"loss": 1.1291,
|
| 657 |
+
"step": 1280
|
| 658 |
+
},
|
| 659 |
+
{
|
| 660 |
+
"epoch": 0.5621621621621622,
|
| 661 |
+
"grad_norm": 0.6145665645599365,
|
| 662 |
+
"learning_rate": 1.265360163744694e-05,
|
| 663 |
+
"loss": 1.1212,
|
| 664 |
+
"step": 1300
|
| 665 |
+
},
|
| 666 |
+
{
|
| 667 |
+
"epoch": 0.5621621621621622,
|
| 668 |
+
"eval_loss": 1.2243192195892334,
|
| 669 |
+
"eval_runtime": 156.3088,
|
| 670 |
+
"eval_samples_per_second": 9.596,
|
| 671 |
+
"eval_steps_per_second": 2.399,
|
| 672 |
+
"step": 1300
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"epoch": 0.5708108108108109,
|
| 676 |
+
"grad_norm": 0.8270878791809082,
|
| 677 |
+
"learning_rate": 1.257676312378741e-05,
|
| 678 |
+
"loss": 1.0307,
|
| 679 |
+
"step": 1320
|
| 680 |
+
},
|
| 681 |
+
{
|
| 682 |
+
"epoch": 0.5794594594594594,
|
| 683 |
+
"grad_norm": 0.6336683034896851,
|
| 684 |
+
"learning_rate": 1.2498928253901358e-05,
|
| 685 |
+
"loss": 1.143,
|
| 686 |
+
"step": 1340
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 0.5837837837837838,
|
| 690 |
+
"eval_loss": 1.2215410470962524,
|
| 691 |
+
"eval_runtime": 156.2606,
|
| 692 |
+
"eval_samples_per_second": 9.599,
|
| 693 |
+
"eval_steps_per_second": 2.4,
|
| 694 |
+
"step": 1350
|
| 695 |
+
},
|
| 696 |
+
{
|
| 697 |
+
"epoch": 0.5881081081081081,
|
| 698 |
+
"grad_norm": 0.5482487678527832,
|
| 699 |
+
"learning_rate": 1.24201123035177e-05,
|
| 700 |
+
"loss": 1.3624,
|
| 701 |
+
"step": 1360
|
| 702 |
+
},
|
| 703 |
+
{
|
| 704 |
+
"epoch": 0.5967567567567568,
|
| 705 |
+
"grad_norm": 0.7318127751350403,
|
| 706 |
+
"learning_rate": 1.2340330740910413e-05,
|
| 707 |
+
"loss": 1.1077,
|
| 708 |
+
"step": 1380
|
| 709 |
+
},
|
| 710 |
+
{
|
| 711 |
+
"epoch": 0.6054054054054054,
|
| 712 |
+
"grad_norm": 0.5615875720977783,
|
| 713 |
+
"learning_rate": 1.2259599223862757e-05,
|
| 714 |
+
"loss": 1.232,
|
| 715 |
+
"step": 1400
|
| 716 |
+
},
|
| 717 |
+
{
|
| 718 |
+
"epoch": 0.6054054054054054,
|
| 719 |
+
"eval_loss": 1.2196455001831055,
|
| 720 |
+
"eval_runtime": 156.1978,
|
| 721 |
+
"eval_samples_per_second": 9.603,
|
| 722 |
+
"eval_steps_per_second": 2.401,
|
| 723 |
+
"step": 1400
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.614054054054054,
|
| 727 |
+
"grad_norm": 0.6447334885597229,
|
| 728 |
+
"learning_rate": 1.2177933596594313e-05,
|
| 729 |
+
"loss": 1.1058,
|
| 730 |
+
"step": 1420
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.6227027027027027,
|
| 734 |
+
"grad_norm": 0.8408645391464233,
|
| 735 |
+
"learning_rate": 1.2095349886651426e-05,
|
| 736 |
+
"loss": 1.302,
|
| 737 |
+
"step": 1440
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.6270270270270271,
|
| 741 |
+
"eval_loss": 1.2167232036590576,
|
| 742 |
+
"eval_runtime": 156.2131,
|
| 743 |
+
"eval_samples_per_second": 9.602,
|
| 744 |
+
"eval_steps_per_second": 2.401,
|
| 745 |
+
"step": 1450
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.6313513513513513,
|
| 749 |
+
"grad_norm": 0.4599859416484833,
|
| 750 |
+
"learning_rate": 1.2011864301761648e-05,
|
| 751 |
+
"loss": 1.1504,
|
| 752 |
+
"step": 1460
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.64,
|
| 756 |
+
"grad_norm": 0.9404271841049194,
|
| 757 |
+
"learning_rate": 1.1927493226652876e-05,
|
| 758 |
+
"loss": 1.2024,
|
| 759 |
+
"step": 1480
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.6486486486486487,
|
| 763 |
+
"grad_norm": 0.5044443011283875,
|
| 764 |
+
"learning_rate": 1.1842253219837676e-05,
|
| 765 |
+
"loss": 1.213,
|
| 766 |
+
"step": 1500
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.6486486486486487,
|
| 770 |
+
"eval_loss": 1.2149133682250977,
|
| 771 |
+
"eval_runtime": 156.3249,
|
| 772 |
+
"eval_samples_per_second": 9.595,
|
| 773 |
+
"eval_steps_per_second": 2.399,
|
| 774 |
+
"step": 1500
|
| 775 |
+
},
|
| 776 |
+
{
|
| 777 |
+
"epoch": 0.6572972972972972,
|
| 778 |
+
"grad_norm": 0.7133287191390991,
|
| 779 |
+
"learning_rate": 1.1756161010363576e-05,
|
| 780 |
+
"loss": 1.1682,
|
| 781 |
+
"step": 1520
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"epoch": 0.6659459459459459,
|
| 785 |
+
"grad_norm": 0.7438573241233826,
|
| 786 |
+
"learning_rate": 1.1669233494529819e-05,
|
| 787 |
+
"loss": 1.0579,
|
| 788 |
+
"step": 1540
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 0.6702702702702703,
|
| 792 |
+
"eval_loss": 1.2130820751190186,
|
| 793 |
+
"eval_runtime": 156.4016,
|
| 794 |
+
"eval_samples_per_second": 9.591,
|
| 795 |
+
"eval_steps_per_second": 2.398,
|
| 796 |
+
"step": 1550
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"epoch": 0.6745945945945946,
|
| 800 |
+
"grad_norm": 0.8739683032035828,
|
| 801 |
+
"learning_rate": 1.158148773257135e-05,
|
| 802 |
+
"loss": 1.0753,
|
| 803 |
+
"step": 1560
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 0.6832432432432433,
|
| 807 |
+
"grad_norm": 0.7708102464675903,
|
| 808 |
+
"learning_rate": 1.1492940945310608e-05,
|
| 809 |
+
"loss": 1.2175,
|
| 810 |
+
"step": 1580
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 0.6918918918918919,
|
| 814 |
+
"grad_norm": 0.549228847026825,
|
| 815 |
+
"learning_rate": 1.1403610510777778e-05,
|
| 816 |
+
"loss": 1.0838,
|
| 817 |
+
"step": 1600
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"epoch": 0.6918918918918919,
|
| 821 |
+
"eval_loss": 1.2114548683166504,
|
| 822 |
+
"eval_runtime": 156.4625,
|
| 823 |
+
"eval_samples_per_second": 9.587,
|
| 824 |
+
"eval_steps_per_second": 2.397,
|
| 825 |
+
"step": 1600
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 0.7005405405405405,
|
| 829 |
+
"grad_norm": 0.9724882245063782,
|
| 830 |
+
"learning_rate": 1.1313513960800224e-05,
|
| 831 |
+
"loss": 1.0542,
|
| 832 |
+
"step": 1620
|
| 833 |
+
},
|
| 834 |
+
{
|
| 835 |
+
"epoch": 0.7091891891891892,
|
| 836 |
+
"grad_norm": 0.8888576030731201,
|
| 837 |
+
"learning_rate": 1.1222668977561725e-05,
|
| 838 |
+
"loss": 1.2136,
|
| 839 |
+
"step": 1640
|
| 840 |
+
},
|
| 841 |
+
{
|
| 842 |
+
"epoch": 0.7135135135135136,
|
| 843 |
+
"eval_loss": 1.2095521688461304,
|
| 844 |
+
"eval_runtime": 156.4366,
|
| 845 |
+
"eval_samples_per_second": 9.589,
|
| 846 |
+
"eval_steps_per_second": 2.397,
|
| 847 |
+
"step": 1650
|
| 848 |
+
},
|
| 849 |
+
{
|
| 850 |
+
"epoch": 0.7178378378378378,
|
| 851 |
+
"grad_norm": 1.1320910453796387,
|
| 852 |
+
"learning_rate": 1.1131093390132205e-05,
|
| 853 |
+
"loss": 1.1844,
|
| 854 |
+
"step": 1660
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 0.7264864864864865,
|
| 858 |
+
"grad_norm": 0.8856949210166931,
|
| 859 |
+
"learning_rate": 1.1038805170968615e-05,
|
| 860 |
+
"loss": 1.1142,
|
| 861 |
+
"step": 1680
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 0.7351351351351352,
|
| 865 |
+
"grad_norm": 1.0155227184295654,
|
| 866 |
+
"learning_rate": 1.0945822432387722e-05,
|
| 867 |
+
"loss": 1.1138,
|
| 868 |
+
"step": 1700
|
| 869 |
+
},
|
| 870 |
+
{
|
| 871 |
+
"epoch": 0.7351351351351352,
|
| 872 |
+
"eval_loss": 1.207614779472351,
|
| 873 |
+
"eval_runtime": 156.4751,
|
| 874 |
+
"eval_samples_per_second": 9.586,
|
| 875 |
+
"eval_steps_per_second": 2.397,
|
| 876 |
+
"step": 1700
|
| 877 |
+
},
|
| 878 |
+
{
|
| 879 |
+
"epoch": 0.7437837837837837,
|
| 880 |
+
"grad_norm": 0.8122560977935791,
|
| 881 |
+
"learning_rate": 1.0852163423011382e-05,
|
| 882 |
+
"loss": 1.1304,
|
| 883 |
+
"step": 1720
|
| 884 |
+
},
|
| 885 |
+
{
|
| 886 |
+
"epoch": 0.7524324324324324,
|
| 887 |
+
"grad_norm": 0.8628650903701782,
|
| 888 |
+
"learning_rate": 1.0757846524185135e-05,
|
| 889 |
+
"loss": 1.1426,
|
| 890 |
+
"step": 1740
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 0.7567567567567568,
|
| 894 |
+
"eval_loss": 1.2060997486114502,
|
| 895 |
+
"eval_runtime": 156.2117,
|
| 896 |
+
"eval_samples_per_second": 9.602,
|
| 897 |
+
"eval_steps_per_second": 2.401,
|
| 898 |
+
"step": 1750
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.7610810810810811,
|
| 902 |
+
"grad_norm": 1.243729591369629,
|
| 903 |
+
"learning_rate": 1.0662890246370682e-05,
|
| 904 |
+
"loss": 1.0881,
|
| 905 |
+
"step": 1760
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.7697297297297298,
|
| 909 |
+
"grad_norm": 0.8714478015899658,
|
| 910 |
+
"learning_rate": 1.0567313225513085e-05,
|
| 911 |
+
"loss": 1.2214,
|
| 912 |
+
"step": 1780
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.7783783783783784,
|
| 916 |
+
"grad_norm": 0.44382530450820923,
|
| 917 |
+
"learning_rate": 1.0471134219383299e-05,
|
| 918 |
+
"loss": 1.2328,
|
| 919 |
+
"step": 1800
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.7783783783783784,
|
| 923 |
+
"eval_loss": 1.2047566175460815,
|
| 924 |
+
"eval_runtime": 156.372,
|
| 925 |
+
"eval_samples_per_second": 9.593,
|
| 926 |
+
"eval_steps_per_second": 2.398,
|
| 927 |
+
"step": 1800
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 0.787027027027027,
|
| 931 |
+
"grad_norm": 1.0515871047973633,
|
| 932 |
+
"learning_rate": 1.0374372103896792e-05,
|
| 933 |
+
"loss": 1.1519,
|
| 934 |
+
"step": 1820
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 0.7956756756756757,
|
| 938 |
+
"grad_norm": 0.8955100178718567,
|
| 939 |
+
"learning_rate": 1.027704586940902e-05,
|
| 940 |
+
"loss": 1.0786,
|
| 941 |
+
"step": 1840
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.8,
|
| 945 |
+
"eval_loss": 1.2030872106552124,
|
| 946 |
+
"eval_runtime": 156.2817,
|
| 947 |
+
"eval_samples_per_second": 9.598,
|
| 948 |
+
"eval_steps_per_second": 2.4,
|
| 949 |
+
"step": 1850
|
| 950 |
+
},
|
| 951 |
+
{
|
| 952 |
+
"epoch": 0.8043243243243243,
|
| 953 |
+
"grad_norm": 0.6575765609741211,
|
| 954 |
+
"learning_rate": 1.0179174616988392e-05,
|
| 955 |
+
"loss": 1.2385,
|
| 956 |
+
"step": 1860
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 0.812972972972973,
|
| 960 |
+
"grad_norm": 0.5790345072746277,
|
| 961 |
+
"learning_rate": 1.008077755466754e-05,
|
| 962 |
+
"loss": 1.135,
|
| 963 |
+
"step": 1880
|
| 964 |
+
},
|
| 965 |
+
{
|
| 966 |
+
"epoch": 0.8216216216216217,
|
| 967 |
+
"grad_norm": 0.7308002710342407,
|
| 968 |
+
"learning_rate": 9.981873993673584e-06,
|
| 969 |
+
"loss": 1.2052,
|
| 970 |
+
"step": 1900
|
| 971 |
+
},
|
| 972 |
+
{
|
| 973 |
+
"epoch": 0.8216216216216217,
|
| 974 |
+
"eval_loss": 1.2018324136734009,
|
| 975 |
+
"eval_runtime": 156.3907,
|
| 976 |
+
"eval_samples_per_second": 9.591,
|
| 977 |
+
"eval_steps_per_second": 2.398,
|
| 978 |
+
"step": 1900
|
| 979 |
+
},
|
| 980 |
+
{
|
| 981 |
+
"epoch": 0.8302702702702702,
|
| 982 |
+
"grad_norm": 0.47168049216270447,
|
| 983 |
+
"learning_rate": 9.882483344638144e-06,
|
| 984 |
+
"loss": 1.1291,
|
| 985 |
+
"step": 1920
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"epoch": 0.8389189189189189,
|
| 989 |
+
"grad_norm": 1.0765182971954346,
|
| 990 |
+
"learning_rate": 9.78262511378785e-06,
|
| 991 |
+
"loss": 1.2196,
|
| 992 |
+
"step": 1940
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 0.8432432432432433,
|
| 996 |
+
"eval_loss": 1.200095534324646,
|
| 997 |
+
"eval_runtime": 156.3628,
|
| 998 |
+
"eval_samples_per_second": 9.593,
|
| 999 |
+
"eval_steps_per_second": 2.398,
|
| 1000 |
+
"step": 1950
|
| 1001 |
+
},
|
| 1002 |
+
{
|
| 1003 |
+
"epoch": 0.8475675675675676,
|
| 1004 |
+
"grad_norm": 0.9777532815933228,
|
| 1005 |
+
"learning_rate": 9.682318899116075e-06,
|
| 1006 |
+
"loss": 1.2965,
|
| 1007 |
+
"step": 1960
|
| 1008 |
+
},
|
| 1009 |
+
{
|
| 1010 |
+
"epoch": 0.8562162162162162,
|
| 1011 |
+
"grad_norm": 0.6992659568786621,
|
| 1012 |
+
"learning_rate": 9.58158438653668e-06,
|
| 1013 |
+
"loss": 1.2705,
|
| 1014 |
+
"step": 1980
|
| 1015 |
+
},
|
| 1016 |
+
{
|
| 1017 |
+
"epoch": 0.8648648648648649,
|
| 1018 |
+
"grad_norm": 0.7154545783996582,
|
| 1019 |
+
"learning_rate": 9.480441346020491e-06,
|
| 1020 |
+
"loss": 1.1538,
|
| 1021 |
+
"step": 2000
|
| 1022 |
+
},
|
| 1023 |
+
{
|
| 1024 |
+
"epoch": 0.8648648648648649,
|
| 1025 |
+
"eval_loss": 1.1992037296295166,
|
| 1026 |
+
"eval_runtime": 156.5695,
|
| 1027 |
+
"eval_samples_per_second": 9.58,
|
| 1028 |
+
"eval_steps_per_second": 2.395,
|
| 1029 |
+
"step": 2000
|
| 1030 |
+
},
|
| 1031 |
+
{
|
| 1032 |
+
"epoch": 0.8735135135135135,
|
| 1033 |
+
"grad_norm": 0.9878578782081604,
|
| 1034 |
+
"learning_rate": 9.378909627715276e-06,
|
| 1035 |
+
"loss": 1.1575,
|
| 1036 |
+
"step": 2020
|
| 1037 |
+
},
|
| 1038 |
+
{
|
| 1039 |
+
"epoch": 0.8821621621621621,
|
| 1040 |
+
"grad_norm": 0.7160919308662415,
|
| 1041 |
+
"learning_rate": 9.277009158049991e-06,
|
| 1042 |
+
"loss": 1.2407,
|
| 1043 |
+
"step": 2040
|
| 1044 |
+
},
|
| 1045 |
+
{
|
| 1046 |
+
"epoch": 0.8864864864864865,
|
| 1047 |
+
"eval_loss": 1.1983826160430908,
|
| 1048 |
+
"eval_runtime": 156.5345,
|
| 1049 |
+
"eval_samples_per_second": 9.583,
|
| 1050 |
+
"eval_steps_per_second": 2.396,
|
| 1051 |
+
"step": 2050
|
| 1052 |
+
},
|
| 1053 |
+
{
|
| 1054 |
+
"epoch": 0.8908108108108108,
|
| 1055 |
+
"grad_norm": 0.8028165102005005,
|
| 1056 |
+
"learning_rate": 9.174759935824059e-06,
|
| 1057 |
+
"loss": 1.0845,
|
| 1058 |
+
"step": 2060
|
| 1059 |
+
},
|
| 1060 |
+
{
|
| 1061 |
+
"epoch": 0.8994594594594595,
|
| 1062 |
+
"grad_norm": 0.5290041565895081,
|
| 1063 |
+
"learning_rate": 9.072182028282447e-06,
|
| 1064 |
+
"loss": 1.1363,
|
| 1065 |
+
"step": 2080
|
| 1066 |
+
},
|
| 1067 |
+
{
|
| 1068 |
+
"epoch": 0.9081081081081082,
|
| 1069 |
+
"grad_norm": 0.8659726977348328,
|
| 1070 |
+
"learning_rate": 8.96929556717729e-06,
|
| 1071 |
+
"loss": 1.1844,
|
| 1072 |
+
"step": 2100
|
| 1073 |
+
},
|
| 1074 |
+
{
|
| 1075 |
+
"epoch": 0.9081081081081082,
|
| 1076 |
+
"eval_loss": 1.1970139741897583,
|
| 1077 |
+
"eval_runtime": 156.645,
|
| 1078 |
+
"eval_samples_per_second": 9.576,
|
| 1079 |
+
"eval_steps_per_second": 2.394,
|
| 1080 |
+
"step": 2100
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 0.9167567567567567,
|
| 1084 |
+
"grad_norm": 0.7906278371810913,
|
| 1085 |
+
"learning_rate": 8.866120744816888e-06,
|
| 1086 |
+
"loss": 1.1765,
|
| 1087 |
+
"step": 2120
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.9254054054054054,
|
| 1091 |
+
"grad_norm": 0.7997767925262451,
|
| 1092 |
+
"learning_rate": 8.762677810102787e-06,
|
| 1093 |
+
"loss": 1.0805,
|
| 1094 |
+
"step": 2140
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.9297297297297298,
|
| 1098 |
+
"eval_loss": 1.195316195487976,
|
| 1099 |
+
"eval_runtime": 156.3354,
|
| 1100 |
+
"eval_samples_per_second": 9.595,
|
| 1101 |
+
"eval_steps_per_second": 2.399,
|
| 1102 |
+
"step": 2150
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 0.9340540540540541,
|
| 1106 |
+
"grad_norm": 0.5412635803222656,
|
| 1107 |
+
"learning_rate": 8.658987064555783e-06,
|
| 1108 |
+
"loss": 1.0922,
|
| 1109 |
+
"step": 2160
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 0.9427027027027027,
|
| 1113 |
+
"grad_norm": 0.8357748985290527,
|
| 1114 |
+
"learning_rate": 8.555068858331553e-06,
|
| 1115 |
+
"loss": 1.2273,
|
| 1116 |
+
"step": 2180
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 0.9513513513513514,
|
| 1120 |
+
"grad_norm": 0.8305333852767944,
|
| 1121 |
+
"learning_rate": 8.450943586226805e-06,
|
| 1122 |
+
"loss": 1.2381,
|
| 1123 |
+
"step": 2200
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 0.9513513513513514,
|
| 1127 |
+
"eval_loss": 1.1945637464523315,
|
| 1128 |
+
"eval_runtime": 157.8154,
|
| 1129 |
+
"eval_samples_per_second": 9.505,
|
| 1130 |
+
"eval_steps_per_second": 2.376,
|
| 1131 |
+
"step": 2200
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"epoch": 0.96,
|
| 1135 |
+
"grad_norm": 0.5756638646125793,
|
| 1136 |
+
"learning_rate": 8.346631683676616e-06,
|
| 1137 |
+
"loss": 1.0844,
|
| 1138 |
+
"step": 2220
|
| 1139 |
+
},
|
| 1140 |
+
{
|
| 1141 |
+
"epoch": 0.9686486486486486,
|
| 1142 |
+
"grad_norm": 0.8370802998542786,
|
| 1143 |
+
"learning_rate": 8.242153622743802e-06,
|
| 1144 |
+
"loss": 1.1966,
|
| 1145 |
+
"step": 2240
|
| 1146 |
+
},
|
| 1147 |
+
{
|
| 1148 |
+
"epoch": 0.972972972972973,
|
| 1149 |
+
"eval_loss": 1.193472981452942,
|
| 1150 |
+
"eval_runtime": 156.5861,
|
| 1151 |
+
"eval_samples_per_second": 9.579,
|
| 1152 |
+
"eval_steps_per_second": 2.395,
|
| 1153 |
+
"step": 2250
|
| 1154 |
+
},
|
| 1155 |
+
{
|
| 1156 |
+
"epoch": 0.9772972972972973,
|
| 1157 |
+
"grad_norm": 0.654332160949707,
|
| 1158 |
+
"learning_rate": 8.137529908101128e-06,
|
| 1159 |
+
"loss": 1.1768,
|
| 1160 |
+
"step": 2260
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 0.985945945945946,
|
| 1164 |
+
"grad_norm": 0.8234332799911499,
|
| 1165 |
+
"learning_rate": 8.03278107300709e-06,
|
| 1166 |
+
"loss": 1.1339,
|
| 1167 |
+
"step": 2280
|
| 1168 |
+
},
|
| 1169 |
+
{
|
| 1170 |
+
"epoch": 0.9945945945945946,
|
| 1171 |
+
"grad_norm": 0.618282675743103,
|
| 1172 |
+
"learning_rate": 7.927927675276087e-06,
|
| 1173 |
+
"loss": 1.1226,
|
| 1174 |
+
"step": 2300
|
| 1175 |
+
},
|
| 1176 |
+
{
|
| 1177 |
+
"epoch": 0.9945945945945946,
|
| 1178 |
+
"eval_loss": 1.1929038763046265,
|
| 1179 |
+
"eval_runtime": 156.4657,
|
| 1180 |
+
"eval_samples_per_second": 9.587,
|
| 1181 |
+
"eval_steps_per_second": 2.397,
|
| 1182 |
+
"step": 2300
|
| 1183 |
+
},
|
| 1184 |
+
{
|
| 1185 |
+
"epoch": 1.0032432432432432,
|
| 1186 |
+
"grad_norm": 0.7228516340255737,
|
| 1187 |
+
"learning_rate": 7.822990293243793e-06,
|
| 1188 |
+
"loss": 1.1974,
|
| 1189 |
+
"step": 2320
|
| 1190 |
+
},
|
| 1191 |
+
{
|
| 1192 |
+
"epoch": 1.011891891891892,
|
| 1193 |
+
"grad_norm": 0.6766774654388428,
|
| 1194 |
+
"learning_rate": 7.71798952172849e-06,
|
| 1195 |
+
"loss": 1.01,
|
| 1196 |
+
"step": 2340
|
| 1197 |
+
},
|
| 1198 |
+
{
|
| 1199 |
+
"epoch": 1.0162162162162163,
|
| 1200 |
+
"eval_loss": 1.1917825937271118,
|
| 1201 |
+
"eval_runtime": 156.3134,
|
| 1202 |
+
"eval_samples_per_second": 9.596,
|
| 1203 |
+
"eval_steps_per_second": 2.399,
|
| 1204 |
+
"step": 2350
|
| 1205 |
+
},
|
| 1206 |
+
{
|
| 1207 |
+
"epoch": 1.0205405405405406,
|
| 1208 |
+
"grad_norm": 0.8917098045349121,
|
| 1209 |
+
"learning_rate": 7.612945967989164e-06,
|
| 1210 |
+
"loss": 1.0233,
|
| 1211 |
+
"step": 2360
|
| 1212 |
+
},
|
| 1213 |
+
{
|
| 1214 |
+
"epoch": 1.0291891891891891,
|
| 1215 |
+
"grad_norm": 0.7241379022598267,
|
| 1216 |
+
"learning_rate": 7.5078802476811515e-06,
|
| 1217 |
+
"loss": 1.2105,
|
| 1218 |
+
"step": 2380
|
| 1219 |
+
},
|
| 1220 |
+
{
|
| 1221 |
+
"epoch": 1.037837837837838,
|
| 1222 |
+
"grad_norm": 0.6121885776519775,
|
| 1223 |
+
"learning_rate": 7.402812980810174e-06,
|
| 1224 |
+
"loss": 1.1697,
|
| 1225 |
+
"step": 2400
|
| 1226 |
+
},
|
| 1227 |
+
{
|
| 1228 |
+
"epoch": 1.037837837837838,
|
| 1229 |
+
"eval_loss": 1.1907098293304443,
|
| 1230 |
+
"eval_runtime": 156.2571,
|
| 1231 |
+
"eval_samples_per_second": 9.6,
|
| 1232 |
+
"eval_steps_per_second": 2.4,
|
| 1233 |
+
"step": 2400
|
| 1234 |
+
},
|
| 1235 |
+
{
|
| 1236 |
+
"epoch": 1.0464864864864865,
|
| 1237 |
+
"grad_norm": 0.56922847032547,
|
| 1238 |
+
"learning_rate": 7.297764787685467e-06,
|
| 1239 |
+
"loss": 1.2328,
|
| 1240 |
+
"step": 2420
|
| 1241 |
+
},
|
| 1242 |
+
{
|
| 1243 |
+
"epoch": 1.0551351351351352,
|
| 1244 |
+
"grad_norm": 0.8866540789604187,
|
| 1245 |
+
"learning_rate": 7.192756284872893e-06,
|
| 1246 |
+
"loss": 1.1378,
|
| 1247 |
+
"step": 2440
|
| 1248 |
+
},
|
| 1249 |
+
{
|
| 1250 |
+
"epoch": 1.0594594594594595,
|
| 1251 |
+
"eval_loss": 1.190106987953186,
|
| 1252 |
+
"eval_runtime": 156.2921,
|
| 1253 |
+
"eval_samples_per_second": 9.597,
|
| 1254 |
+
"eval_steps_per_second": 2.399,
|
| 1255 |
+
"step": 2450
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 1.0637837837837838,
|
| 1259 |
+
"grad_norm": 0.9187541604042053,
|
| 1260 |
+
"learning_rate": 7.087808081148768e-06,
|
| 1261 |
+
"loss": 1.027,
|
| 1262 |
+
"step": 2460
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 1.0724324324324324,
|
| 1266 |
+
"grad_norm": 0.4501543939113617,
|
| 1267 |
+
"learning_rate": 6.982940773455215e-06,
|
| 1268 |
+
"loss": 1.2174,
|
| 1269 |
+
"step": 2480
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 1.0810810810810811,
|
| 1273 |
+
"grad_norm": 0.670372486114502,
|
| 1274 |
+
"learning_rate": 6.878174942857852e-06,
|
| 1275 |
+
"loss": 0.9583,
|
| 1276 |
+
"step": 2500
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 1.0810810810810811,
|
| 1280 |
+
"eval_loss": 1.1890244483947754,
|
| 1281 |
+
"eval_runtime": 156.3208,
|
| 1282 |
+
"eval_samples_per_second": 9.596,
|
| 1283 |
+
"eval_steps_per_second": 2.399,
|
| 1284 |
+
"step": 2500
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
"epoch": 1.0897297297297297,
|
| 1288 |
+
"grad_norm": 0.5464470386505127,
|
| 1289 |
+
"learning_rate": 6.7735311505065885e-06,
|
| 1290 |
+
"loss": 1.117,
|
| 1291 |
+
"step": 2520
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"epoch": 1.0983783783783783,
|
| 1295 |
+
"grad_norm": 0.5962574481964111,
|
| 1296 |
+
"learning_rate": 6.669029933600332e-06,
|
| 1297 |
+
"loss": 1.1578,
|
| 1298 |
+
"step": 2540
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 1.1027027027027028,
|
| 1302 |
+
"eval_loss": 1.1883645057678223,
|
| 1303 |
+
"eval_runtime": 156.3484,
|
| 1304 |
+
"eval_samples_per_second": 9.594,
|
| 1305 |
+
"eval_steps_per_second": 2.398,
|
| 1306 |
+
"step": 2550
|
| 1307 |
+
},
|
| 1308 |
+
{
|
| 1309 |
+
"epoch": 1.107027027027027,
|
| 1310 |
+
"grad_norm": 0.7612497210502625,
|
| 1311 |
+
"learning_rate": 6.564691801356392e-06,
|
| 1312 |
+
"loss": 1.1369,
|
| 1313 |
+
"step": 2560
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 1.1156756756756756,
|
| 1317 |
+
"grad_norm": 1.0087133646011353,
|
| 1318 |
+
"learning_rate": 6.460537230985388e-06,
|
| 1319 |
+
"loss": 1.1793,
|
| 1320 |
+
"step": 2580
|
| 1321 |
+
},
|
| 1322 |
+
{
|
| 1323 |
+
"epoch": 1.1243243243243244,
|
| 1324 |
+
"grad_norm": 0.6867474913597107,
|
| 1325 |
+
"learning_rate": 6.356586663672409e-06,
|
| 1326 |
+
"loss": 1.1688,
|
| 1327 |
+
"step": 2600
|
| 1328 |
+
},
|
| 1329 |
+
{
|
| 1330 |
+
"epoch": 1.1243243243243244,
|
| 1331 |
+
"eval_loss": 1.1876789331436157,
|
| 1332 |
+
"eval_runtime": 156.4562,
|
| 1333 |
+
"eval_samples_per_second": 9.587,
|
| 1334 |
+
"eval_steps_per_second": 2.397,
|
| 1335 |
+
"step": 2600
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"epoch": 1.132972972972973,
|
| 1339 |
+
"grad_norm": 0.8074759840965271,
|
| 1340 |
+
"learning_rate": 6.252860500565295e-06,
|
| 1341 |
+
"loss": 1.1414,
|
| 1342 |
+
"step": 2620
|
| 1343 |
+
},
|
| 1344 |
+
{
|
| 1345 |
+
"epoch": 1.1416216216216215,
|
| 1346 |
+
"grad_norm": 1.0738656520843506,
|
| 1347 |
+
"learning_rate": 6.1493790987707146e-06,
|
| 1348 |
+
"loss": 1.2174,
|
| 1349 |
+
"step": 2640
|
| 1350 |
+
},
|
| 1351 |
+
{
|
| 1352 |
+
"epoch": 1.145945945945946,
|
| 1353 |
+
"eval_loss": 1.1870859861373901,
|
| 1354 |
+
"eval_runtime": 156.2871,
|
| 1355 |
+
"eval_samples_per_second": 9.598,
|
| 1356 |
+
"eval_steps_per_second": 2.399,
|
| 1357 |
+
"step": 2650
|
| 1358 |
+
},
|
| 1359 |
+
{
|
| 1360 |
+
"epoch": 1.1502702702702703,
|
| 1361 |
+
"grad_norm": 0.7977942824363708,
|
| 1362 |
+
"learning_rate": 6.0461627673589336e-06,
|
| 1363 |
+
"loss": 1.2674,
|
| 1364 |
+
"step": 2660
|
| 1365 |
+
},
|
| 1366 |
+
{
|
| 1367 |
+
"epoch": 1.1589189189189189,
|
| 1368 |
+
"grad_norm": 0.5102550983428955,
|
| 1369 |
+
"learning_rate": 5.943231763377995e-06,
|
| 1370 |
+
"loss": 1.1778,
|
| 1371 |
+
"step": 2680
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"epoch": 1.1675675675675676,
|
| 1375 |
+
"grad_norm": 0.7279404997825623,
|
| 1376 |
+
"learning_rate": 5.840606287878094e-06,
|
| 1377 |
+
"loss": 1.1715,
|
| 1378 |
+
"step": 2700
|
| 1379 |
+
},
|
| 1380 |
+
{
|
| 1381 |
+
"epoch": 1.1675675675675676,
|
| 1382 |
+
"eval_loss": 1.1867084503173828,
|
| 1383 |
+
"eval_runtime": 156.3684,
|
| 1384 |
+
"eval_samples_per_second": 9.593,
|
| 1385 |
+
"eval_steps_per_second": 2.398,
|
| 1386 |
+
"step": 2700
|
| 1387 |
+
},
|
| 1388 |
+
{
|
| 1389 |
+
"epoch": 1.1762162162162162,
|
| 1390 |
+
"grad_norm": 1.0068808794021606,
|
| 1391 |
+
"learning_rate": 5.738306481946973e-06,
|
| 1392 |
+
"loss": 1.1962,
|
| 1393 |
+
"step": 2720
|
| 1394 |
+
},
|
| 1395 |
+
{
|
| 1396 |
+
"epoch": 1.1848648648648648,
|
| 1397 |
+
"grad_norm": 1.274601936340332,
|
| 1398 |
+
"learning_rate": 5.636352422757062e-06,
|
| 1399 |
+
"loss": 1.1244,
|
| 1400 |
+
"step": 2740
|
| 1401 |
+
},
|
| 1402 |
+
{
|
| 1403 |
+
"epoch": 1.1891891891891893,
|
| 1404 |
+
"eval_loss": 1.185834288597107,
|
| 1405 |
+
"eval_runtime": 156.5394,
|
| 1406 |
+
"eval_samples_per_second": 9.582,
|
| 1407 |
+
"eval_steps_per_second": 2.396,
|
| 1408 |
+
"step": 2750
|
| 1409 |
+
},
|
| 1410 |
+
{
|
| 1411 |
+
"epoch": 1.1935135135135135,
|
| 1412 |
+
"grad_norm": 0.7775521278381348,
|
| 1413 |
+
"learning_rate": 5.534764119625167e-06,
|
| 1414 |
+
"loss": 1.1735,
|
| 1415 |
+
"step": 2760
|
| 1416 |
+
},
|
| 1417 |
+
{
|
| 1418 |
+
"epoch": 1.202162162162162,
|
| 1419 |
+
"grad_norm": 0.7912615537643433,
|
| 1420 |
+
"learning_rate": 5.433561510085475e-06,
|
| 1421 |
+
"loss": 1.1918,
|
| 1422 |
+
"step": 2780
|
| 1423 |
+
},
|
| 1424 |
+
{
|
| 1425 |
+
"epoch": 1.2108108108108109,
|
| 1426 |
+
"grad_norm": 0.7740307450294495,
|
| 1427 |
+
"learning_rate": 5.3327644559766674e-06,
|
| 1428 |
+
"loss": 1.0983,
|
| 1429 |
+
"step": 2800
|
| 1430 |
+
},
|
| 1431 |
+
{
|
| 1432 |
+
"epoch": 1.2108108108108109,
|
| 1433 |
+
"eval_loss": 1.185600757598877,
|
| 1434 |
+
"eval_runtime": 156.2111,
|
| 1435 |
+
"eval_samples_per_second": 9.602,
|
| 1436 |
+
"eval_steps_per_second": 2.401,
|
| 1437 |
+
"step": 2800
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 1.2194594594594594,
|
| 1441 |
+
"grad_norm": 0.7494848370552063,
|
| 1442 |
+
"learning_rate": 5.232392739543848e-06,
|
| 1443 |
+
"loss": 1.0842,
|
| 1444 |
+
"step": 2820
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 1.228108108108108,
|
| 1448 |
+
"grad_norm": 0.936766505241394,
|
| 1449 |
+
"learning_rate": 5.132466059556139e-06,
|
| 1450 |
+
"loss": 1.0828,
|
| 1451 |
+
"step": 2840
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 1.2324324324324325,
|
| 1455 |
+
"eval_loss": 1.184820294380188,
|
| 1456 |
+
"eval_runtime": 156.2295,
|
| 1457 |
+
"eval_samples_per_second": 9.601,
|
| 1458 |
+
"eval_steps_per_second": 2.4,
|
| 1459 |
+
"step": 2850
|
| 1460 |
+
}
|
| 1461 |
+
],
|
| 1462 |
+
"logging_steps": 20,
|
| 1463 |
+
"max_steps": 4624,
|
| 1464 |
+
"num_input_tokens_seen": 0,
|
| 1465 |
+
"num_train_epochs": 2,
|
| 1466 |
+
"save_steps": 50,
|
| 1467 |
+
"stateful_callbacks": {
|
| 1468 |
+
"EarlyStoppingCallback": {
|
| 1469 |
+
"args": {
|
| 1470 |
+
"early_stopping_patience": 2,
|
| 1471 |
+
"early_stopping_threshold": 0.0
|
| 1472 |
+
},
|
| 1473 |
+
"attributes": {
|
| 1474 |
+
"early_stopping_patience_counter": 0
|
| 1475 |
+
}
|
| 1476 |
+
},
|
| 1477 |
+
"TrainerControl": {
|
| 1478 |
+
"args": {
|
| 1479 |
+
"should_epoch_stop": false,
|
| 1480 |
+
"should_evaluate": false,
|
| 1481 |
+
"should_log": false,
|
| 1482 |
+
"should_save": true,
|
| 1483 |
+
"should_training_stop": false
|
| 1484 |
+
},
|
| 1485 |
+
"attributes": {}
|
| 1486 |
+
}
|
| 1487 |
+
},
|
| 1488 |
+
"total_flos": 2.08620239192064e+17,
|
| 1489 |
+
"train_batch_size": 4,
|
| 1490 |
+
"trial_name": null,
|
| 1491 |
+
"trial_params": null
|
| 1492 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ebb27e7ef2130019447c79effafe19d46b3798be3ee10705a2da8a8a57e2ca29
|
| 3 |
+
size 5713
|