Remove redundant checkpoint-125/ (final checkpoint already at repo root)
Browse files- checkpoint-125/README.md +0 -208
- checkpoint-125/adapter_config.json +0 -48
- checkpoint-125/adapter_model.safetensors +0 -3
- checkpoint-125/chat_template.jinja +0 -173
- checkpoint-125/optimizer.pt +0 -3
- checkpoint-125/rng_state.pth +0 -3
- checkpoint-125/scheduler.pt +0 -3
- checkpoint-125/tokenizer.json +0 -3
- checkpoint-125/tokenizer_config.json +0 -13
- checkpoint-125/tokens_state.json +0 -1
- checkpoint-125/trainer_state.json +0 -1784
- checkpoint-125/training_args.bin +0 -3
checkpoint-125/README.md
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---
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base_model: unsloth/Seed-OSS-36B-Instruct
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library_name: peft
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pipeline_tag: text-generation
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tags:
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- axolotl
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- base_model:adapter:unsloth/Seed-OSS-36B-Instruct
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- lora
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- transformers
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- 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. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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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).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.19.1
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checkpoint-125/adapter_config.json
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{
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"alora_invocation_tokens": null,
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"alpha_pattern": {},
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"arrow_config": null,
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"auto_mapping": null,
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"base_model_name_or_path": "unsloth/Seed-OSS-36B-Instruct",
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"bias": "none",
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"corda_config": null,
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"ensure_weight_tying": false,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 64,
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"lora_bias": false,
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"lora_dropout": 0.0,
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"lora_ga_config": null,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"peft_version": "0.19.1",
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"qalora_group_size": 16,
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"down_proj",
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"v_proj",
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"up_proj",
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"o_proj",
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"gate_proj",
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"k_proj"
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],
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"target_parameters": [],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_bdlora": null,
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"use_dora": false,
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"use_qalora": false,
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"use_rslora": true
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}
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checkpoint-125/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:62b29b555e010525ec4a903f2946d0d6c8465e2c4a9d2af469ce048a3e55adc6
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size 1157749552
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checkpoint-125/chat_template.jinja
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{# Unsloth Chat template fixes #}
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{# ----------‑‑‑ special token variables ‑‑‑---------- #}
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{%- set bos_token = '<seed:bos>' -%}
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{%- set eos_token = '<seed:eos>' -%}
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{%- set pad_token = '<seed:pad>' -%}
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{%- set toolcall_begin_token = '<seed:tool_call>' -%}
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{%- set toolcall_end_token = '</seed:tool_call>' -%}
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{%- set think_begin_token = '<seed:think>' -%}
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{%- set think_end_token = '</seed:think>' -%}
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{%- set budget_begin_token = '<seed:cot_budget_reflect>'-%}
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{%- set budget_end_token = '</seed:cot_budget_reflect>'-%}
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{# -------------- reflection-interval lookup -------------- #}
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{%- if not thinking_budget is defined %}
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{%- set thinking_budget = -1 -%}
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{%- endif -%}
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{%- set budget_reflections_v05 = {
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0: 0,
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512: 128,
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1024: 256,
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2048: 512,
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4096: 512,
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8192: 1024,
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16384: 1024
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} -%}
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{# 找到 “大于等于 thinking_budget” 的第一个档位 #}
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{%- set ns = namespace(interval = None) -%}
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{%- for k, v in budget_reflections_v05 | dictsort -%}
|
| 28 |
-
{%- if ns.interval is none and thinking_budget <= k -%}
|
| 29 |
-
{%- set ns.interval = v -%}
|
| 30 |
-
{%- endif -%}
|
| 31 |
-
{%- endfor -%}
|
| 32 |
-
{# 若超过最大档位,则用最后一个档位的值 #}
|
| 33 |
-
{%- if ns.interval is none -%}
|
| 34 |
-
{%- set ns.interval = budget_reflections_v05[16384] -%}
|
| 35 |
-
{%- endif -%}
|
| 36 |
-
{# ---------- 预处理 system 消息 ---------- #}
|
| 37 |
-
{%- if messages[0]["role"] == "system" %}
|
| 38 |
-
{%- set system_message = messages[0]["content"] %}
|
| 39 |
-
{%- set loop_messages = messages[1:] %}
|
| 40 |
-
{%- else %}
|
| 41 |
-
{%- set loop_messages = messages %}
|
| 42 |
-
{%- endif %}
|
| 43 |
-
{# ---------- 确保 tools 存在 ---------- #}
|
| 44 |
-
{%- if not tools is defined or tools is none %}
|
| 45 |
-
{%- set tools = [] %}
|
| 46 |
-
{%- endif %}
|
| 47 |
-
{# tools2doc.jinja #}
|
| 48 |
-
{%- macro py_type(t) -%}
|
| 49 |
-
{%- if t == "string" -%}str
|
| 50 |
-
{%- elif t in ("number", "integer") -%}int
|
| 51 |
-
{%- elif t == "boolean" -%}bool
|
| 52 |
-
{%- elif t == "array" -%}list
|
| 53 |
-
{%- else -%}Any{%- endif -%}
|
| 54 |
-
{%- endmacro -%}
|
| 55 |
-
{# ---------- 输出 system 块 ---------- #}
|
| 56 |
-
{%- if system_message is defined %}
|
| 57 |
-
{{ bos_token + "system\n" + system_message }}
|
| 58 |
-
{%- else %}
|
| 59 |
-
{%- if tools is iterable and tools | length > 0 %}
|
| 60 |
-
{{ bos_token + "system\nYou are Doubao, a helpful AI assistant. You may call one or more functions to assist with the user query." }}
|
| 61 |
-
{%- endif %}
|
| 62 |
-
{%- endif %}
|
| 63 |
-
{%- if use_json_tooldef is defined and use_json_tooldef %}
|
| 64 |
-
|
| 65 |
-
{{"Tool List:\nYou are authorized to use the following tools (described in JSON Schema format). Before performing any task, you must decide how to call them based on the descriptions and parameters of these tools."}}
|
| 66 |
-
{{ tools | tojson|string }}
|
| 67 |
-
{%- else %}
|
| 68 |
-
{%- for item in tools if item.type == "function" %}
|
| 69 |
-
|
| 70 |
-
|
| 71 |
-
Function:
|
| 72 |
-
def {{ item.function.name }}(
|
| 73 |
-
{%- for name, spec in item.function.parameters.properties.items() %}
|
| 74 |
-
{{- name }}: {{ py_type(spec.type) }}{% if not loop.last %},{% endif %}
|
| 75 |
-
{%- endfor %}):
|
| 76 |
-
"""
|
| 77 |
-
{{ item.function.description | trim }}
|
| 78 |
-
|
| 79 |
-
{# ---------- Args ---------- #}
|
| 80 |
-
{%- if item.function.parameters.properties %}
|
| 81 |
-
Args:
|
| 82 |
-
{%- for name, spec in item.function.parameters.properties.items() %}
|
| 83 |
-
|
| 84 |
-
- {{ name }} ({{ py_type(spec.type) }})
|
| 85 |
-
{%- if name in item.function.parameters.required %} [必填]{% else %} [选填]{% endif %}:
|
| 86 |
-
{{- " " ~ (spec.description or "") }}
|
| 87 |
-
{%- endfor %}
|
| 88 |
-
{%- endif %}
|
| 89 |
-
|
| 90 |
-
{# ---------- Returns ---------- #}
|
| 91 |
-
{%- if item.function.returns is defined
|
| 92 |
-
and item.function.returns.properties is defined
|
| 93 |
-
and item.function.returns.properties %}
|
| 94 |
-
Returns:
|
| 95 |
-
{%- for name, spec in item.function.returns.properties.items() %}
|
| 96 |
-
|
| 97 |
-
- {{ name }} ({{ py_type(spec.type) }}):
|
| 98 |
-
{{- " " ~ (spec.description or "") }}
|
| 99 |
-
{%- endfor %}
|
| 100 |
-
{%- endif %}
|
| 101 |
-
|
| 102 |
-
"""
|
| 103 |
-
{%- endfor %}
|
| 104 |
-
{%- endif %}
|
| 105 |
-
{%- if tools is iterable and tools | length > 0 %}
|
| 106 |
-
|
| 107 |
-
{{"工具调用请遵循如下格式:\n<seed:tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>value_1</parameter>\n<parameter=example_parameter_2>This is the value for the second parameter\nthat can span\nmultiple lines</parameter>\n</function>\n</seed:tool_call>\n"}}
|
| 108 |
-
{%- endif %}
|
| 109 |
-
{# 结束 system 块行尾 #}
|
| 110 |
-
{%- if system_message is defined or tools is iterable and tools | length > 0 %}
|
| 111 |
-
{{ eos_token }}
|
| 112 |
-
{%- endif %}
|
| 113 |
-
{# ---------- Thinking Budget ---------- #}
|
| 114 |
-
{%- if thinking_budget is defined %}
|
| 115 |
-
{%- if thinking_budget == 0 %}
|
| 116 |
-
{{ bos_token+"system" }}
|
| 117 |
-
{{ "You are an intelligent assistant that can answer questions in one step without the need for reasoning and thinking, that is, your thinking budget is 0. Next, please skip the thinking process and directly start answering the user's questions." }}
|
| 118 |
-
{{ eos_token }}
|
| 119 |
-
{%- elif not thinking_budget == -1 %}
|
| 120 |
-
{{ bos_token+"system" }}
|
| 121 |
-
{{ "You are an intelligent assistant with reflective ability. In the process of thinking and reasoning, you need to strictly follow the thinking budget, which is "}}{{thinking_budget}}{{". That is, you need to complete your thinking within "}}{{thinking_budget}}{{" tokens and start answering the user's questions. You will reflect on your thinking process every "}}{{ns.interval}}{{" tokens, stating how many tokens have been used and how many are left."}}
|
| 122 |
-
{{ eos_token }}
|
| 123 |
-
{%- endif %}
|
| 124 |
-
{%- endif %}
|
| 125 |
-
{# ---------- 逐条写出历史消息 ---------- #}
|
| 126 |
-
{%- for message in loop_messages %}
|
| 127 |
-
{%- if message.role == "assistant"
|
| 128 |
-
and message.tool_calls is defined
|
| 129 |
-
and message.tool_calls is iterable
|
| 130 |
-
and message.tool_calls | length > 0 %}
|
| 131 |
-
{{ bos_token + message.role }}
|
| 132 |
-
{%- if message.reasoning_content is defined and message.reasoning_content is string and message.reasoning_content | trim | length > 0 %}
|
| 133 |
-
{{ "\n" + think_begin_token + message.reasoning_content | trim + think_end_token }}
|
| 134 |
-
{%- endif %}
|
| 135 |
-
{%- if message.content is defined and message.content is string and message.content | trim | length > 0 %}
|
| 136 |
-
{{ "\n" + message.content | trim + "\n" }}
|
| 137 |
-
{%- endif %}
|
| 138 |
-
{%- for tool_call in message.tool_calls %}
|
| 139 |
-
{%- if tool_call.function is defined %}{% set tool_call = tool_call.function %}{% endif %}
|
| 140 |
-
{{ "\n" + toolcall_begin_token + "\n<function=" + tool_call.name + ">\n" }}
|
| 141 |
-
{%- if tool_call.arguments is defined and tool_call.arguments is mapping %}
|
| 142 |
-
{%- for arg_name, arg_value in tool_call.arguments | items %}
|
| 143 |
-
{{ "<parameter=" + arg_name + ">" }}
|
| 144 |
-
{%- set arg_value = arg_value if arg_value is string else arg_value | string %}
|
| 145 |
-
{{ arg_value+"</parameter>\n" }}
|
| 146 |
-
{%- endfor %}
|
| 147 |
-
{%- endif %}
|
| 148 |
-
{{ "</function>\n" + toolcall_end_token }}
|
| 149 |
-
{%- endfor %}
|
| 150 |
-
{{ eos_token }}
|
| 151 |
-
{%- elif message.role in ["user", "system"] %}
|
| 152 |
-
{{ bos_token + message.role + "\n" + message.content + eos_token }}
|
| 153 |
-
{%- elif message.role == "assistant" %}
|
| 154 |
-
{{ bos_token + message.role }}
|
| 155 |
-
{%- if message.reasoning_content is defined and message.reasoning_content is string and message.reasoning_content | trim | length > 0 %}
|
| 156 |
-
{{ "\n" + think_begin_token + message.reasoning_content | trim + think_end_token }}
|
| 157 |
-
{%- endif %}
|
| 158 |
-
{%- if message.content is defined and message.content is string and message.content | trim | length > 0 %}
|
| 159 |
-
{{ "\n" + message.content | trim + eos_token }}
|
| 160 |
-
{%- endif %}
|
| 161 |
-
{# 包括 tool 角色,在这个逻辑 #}
|
| 162 |
-
{%- else %}
|
| 163 |
-
{{ bos_token + message.role + "\n" + message.content + eos_token }}
|
| 164 |
-
{%- endif %}
|
| 165 |
-
{%- endfor %}
|
| 166 |
-
{# ---------- 控制模型开始续写 ---------- #}
|
| 167 |
-
{%- if add_generation_prompt %}
|
| 168 |
-
{{ bos_token+"assistant\n" }}
|
| 169 |
-
{%- if thinking_budget == 0 %}
|
| 170 |
-
{{ think_begin_token+budget_begin_token }}
|
| 171 |
-
{%- endif %}
|
| 172 |
-
{%- endif %}
|
| 173 |
-
{# Copyright 2025-present Unsloth. Apache 2.0 License. #}
|
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|
checkpoint-125/optimizer.pt
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:2761cb464920da04f5a5897c2cbd4ea994654b98921cfd3297da9a8b617aaf01
|
| 3 |
-
size 588910693
|
|
|
|
|
|
|
|
|
|
|
|
checkpoint-125/rng_state.pth
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:79c0ae34067d024c5e8555a9080472b0131751f6a800c64d9db73f988d96ec6b
|
| 3 |
-
size 14645
|
|
|
|
|
|
|
|
|
|
|
|
checkpoint-125/scheduler.pt
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:5e6c88ca0d14c2a604a396d9cb3e8bff73d807848a69a247288564af35d22ad8
|
| 3 |
-
size 1465
|
|
|
|
|
|
|
|
|
|
|
|
checkpoint-125/tokenizer.json
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:f6bd848f52451824a3033a9f1e67eea5b399a13c90f845a332d3a29537e05827
|
| 3 |
-
size 11883696
|
|
|
|
|
|
|
|
|
|
|
|
checkpoint-125/tokenizer_config.json
DELETED
|
@@ -1,13 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"backend": "tokenizers",
|
| 3 |
-
"bos_token": "<seed:bos>",
|
| 4 |
-
"clean_up_tokenization_spaces": false,
|
| 5 |
-
"eos_token": "<seed:eos>",
|
| 6 |
-
"is_local": false,
|
| 7 |
-
"local_files_only": false,
|
| 8 |
-
"model_max_length": 1000000000000000019884624838656,
|
| 9 |
-
"pad_token": "<seed:pad>",
|
| 10 |
-
"padding_side": "left",
|
| 11 |
-
"tokenizer_class": "TokenizersBackend",
|
| 12 |
-
"unk_token": null
|
| 13 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
checkpoint-125/tokens_state.json
DELETED
|
@@ -1 +0,0 @@
|
|
| 1 |
-
{"total": 79464, "trainable": 3000}
|
|
|
|
|
|
checkpoint-125/trainer_state.json
DELETED
|
@@ -1,1784 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"best_global_step": null,
|
| 3 |
-
"best_metric": null,
|
| 4 |
-
"best_model_checkpoint": null,
|
| 5 |
-
"epoch": 1.0,
|
| 6 |
-
"eval_steps": 500,
|
| 7 |
-
"global_step": 125,
|
| 8 |
-
"is_hyper_param_search": false,
|
| 9 |
-
"is_local_process_zero": true,
|
| 10 |
-
"is_world_process_zero": true,
|
| 11 |
-
"log_history": [
|
| 12 |
-
{
|
| 13 |
-
"epoch": 0.008,
|
| 14 |
-
"grad_norm": 144.0395965576172,
|
| 15 |
-
"learning_rate": 0.0,
|
| 16 |
-
"loss": 18.34714126586914,
|
| 17 |
-
"memory/device_reserved (GiB)": 70.99,
|
| 18 |
-
"memory/max_active (GiB)": 70.28,
|
| 19 |
-
"memory/max_allocated (GiB)": 70.28,
|
| 20 |
-
"ppl": 92909946.60015,
|
| 21 |
-
"step": 1,
|
| 22 |
-
"tokens/total": 616,
|
| 23 |
-
"tokens/train_per_sec_per_gpu": 4.4,
|
| 24 |
-
"tokens/trainable": 24
|
| 25 |
-
},
|
| 26 |
-
{
|
| 27 |
-
"epoch": 0.016,
|
| 28 |
-
"grad_norm": 133.71864318847656,
|
| 29 |
-
"learning_rate": 1.0000000000000002e-06,
|
| 30 |
-
"loss": 18.194067001342773,
|
| 31 |
-
"memory/device_reserved (GiB)": 71.02,
|
| 32 |
-
"memory/max_active (GiB)": 70.8,
|
| 33 |
-
"memory/max_allocated (GiB)": 70.8,
|
| 34 |
-
"ppl": 79722865.82877,
|
| 35 |
-
"step": 2,
|
| 36 |
-
"tokens/total": 1236,
|
| 37 |
-
"tokens/train_per_sec_per_gpu": 10.44,
|
| 38 |
-
"tokens/trainable": 48
|
| 39 |
-
},
|
| 40 |
-
{
|
| 41 |
-
"epoch": 0.024,
|
| 42 |
-
"grad_norm": 158.28506469726562,
|
| 43 |
-
"learning_rate": 2.0000000000000003e-06,
|
| 44 |
-
"loss": 18.166255950927734,
|
| 45 |
-
"memory/device_reserved (GiB)": 71.02,
|
| 46 |
-
"memory/max_active (GiB)": 70.82,
|
| 47 |
-
"memory/max_allocated (GiB)": 70.82,
|
| 48 |
-
"ppl": 77536236.35562,
|
| 49 |
-
"step": 3,
|
| 50 |
-
"tokens/total": 1864,
|
| 51 |
-
"tokens/train_per_sec_per_gpu": 11.18,
|
| 52 |
-
"tokens/trainable": 72
|
| 53 |
-
},
|
| 54 |
-
{
|
| 55 |
-
"epoch": 0.032,
|
| 56 |
-
"grad_norm": 144.250244140625,
|
| 57 |
-
"learning_rate": 3e-06,
|
| 58 |
-
"loss": 18.05037498474121,
|
| 59 |
-
"memory/device_reserved (GiB)": 71.02,
|
| 60 |
-
"memory/max_active (GiB)": 70.83,
|
| 61 |
-
"memory/max_allocated (GiB)": 70.83,
|
| 62 |
-
"ppl": 69052316.45379,
|
| 63 |
-
"step": 4,
|
| 64 |
-
"tokens/total": 2484,
|
| 65 |
-
"tokens/train_per_sec_per_gpu": 11.33,
|
| 66 |
-
"tokens/trainable": 96
|
| 67 |
-
},
|
| 68 |
-
{
|
| 69 |
-
"epoch": 0.04,
|
| 70 |
-
"grad_norm": 140.51007080078125,
|
| 71 |
-
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| 1761 |
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| 1784 |
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checkpoint-125/training_args.bin
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@@ -1,3 +0,0 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:a2bd2b51e1d6b18951fd14b31e8c06481f2a72421157f337dcfa00b23ee47e88
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size 6801
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