Instructions to use prxy5605/6e51a5cb-0cd5-4f52-9f14-d9ebb7b89cec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5605/6e51a5cb-0cd5-4f52-9f14-d9ebb7b89cec with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Mistral-7B") model = PeftModel.from_pretrained(base_model, "prxy5605/6e51a5cb-0cd5-4f52-9f14-d9ebb7b89cec") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 0, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +34 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/added_tokens.json +34 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +30 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer.model +3 -0
- last-checkpoint/tokenizer_config.json +301 -0
- last-checkpoint/trainer_state.json +633 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
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| 1 |
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---
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base_model: NousResearch/Hermes-2-Pro-Mistral-7B
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library_name: peft
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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 0.13.2
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last-checkpoint/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "NousResearch/Hermes-2-Pro-Mistral-7B",
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"bias": "none",
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"fan_in_fan_out": null,
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"inference_mode": true,
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"init_lora_weights": true,
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| 9 |
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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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| 13 |
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"lora_alpha": 16,
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| 14 |
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"lora_dropout": 0.05,
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| 15 |
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"megatron_config": null,
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| 16 |
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"megatron_core": "megatron.core",
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| 17 |
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"modules_to_save": null,
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| 18 |
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"peft_type": "LORA",
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| 19 |
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"r": 8,
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| 20 |
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"rank_pattern": {},
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| 21 |
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"revision": null,
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| 22 |
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"target_modules": [
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| 23 |
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"k_proj",
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| 24 |
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"up_proj",
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| 25 |
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"q_proj",
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| 26 |
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"v_proj",
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| 27 |
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"o_proj",
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| 28 |
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"down_proj",
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| 29 |
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"gate_proj"
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],
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| 31 |
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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last-checkpoint/adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:ff768b2d8c25b439ee3c5359206d9dd6ed90992eba169ee6561cb5d893de5e1a
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size 83945296
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last-checkpoint/added_tokens.json
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{
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"<pad10>": 32010,
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"<pad11>": 32011,
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"<pad12>": 32012,
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"<pad13>": 32013,
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"<pad14>": 32014,
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"<pad15>": 32015,
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"<pad16>": 32016,
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"<pad17>": 32017,
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"<pad18>": 32018,
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"<pad19>": 32019,
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"<pad20>": 32020,
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| 13 |
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"<pad21>": 32021,
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"<pad22>": 32022,
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"<pad23>": 32023,
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"<pad24>": 32024,
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| 17 |
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"<pad25>": 32025,
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| 18 |
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"<pad26>": 32026,
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| 19 |
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"<pad27>": 32027,
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| 20 |
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"<pad28>": 32028,
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| 21 |
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"<pad29>": 32029,
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| 22 |
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"<pad2>": 32002,
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| 23 |
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"<pad30>": 32030,
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"<pad31>": 32031,
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| 25 |
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"<pad3>": 32003,
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| 26 |
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"<pad4>": 32004,
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"<pad5>": 32005,
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| 28 |
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"<pad6>": 32006,
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"<pad7>": 32007,
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| 30 |
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"<pad8>": 32008,
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| 31 |
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"<pad9>": 32009,
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| 32 |
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"<|im_end|>": 32000,
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| 33 |
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"<|im_start|>": 32001
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| 34 |
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}
|
last-checkpoint/optimizer.pt
ADDED
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| 1 |
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| 3 |
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size 43123028
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last-checkpoint/rng_state.pth
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size 14244
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last-checkpoint/scheduler.pt
ADDED
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 1064
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last-checkpoint/special_tokens_map.json
ADDED
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@@ -0,0 +1,30 @@
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| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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| 6 |
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|
| 7 |
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|
| 8 |
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| 9 |
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|
| 10 |
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| 11 |
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|
| 14 |
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| 15 |
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| 16 |
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| 19 |
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| 20 |
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|
| 22 |
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| 23 |
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| 24 |
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| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
last-checkpoint/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
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last-checkpoint/tokenizer.model
ADDED
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size 493443
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last-checkpoint/tokenizer_config.json
ADDED
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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"add_eos_token": false,
|
| 4 |
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|
| 5 |
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"added_tokens_decoder": {
|
| 6 |
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| 7 |
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| 8 |
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| 13 |
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| 18 |
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| 19 |
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| 21 |
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| 24 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 40 |
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|
| 44 |
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| 45 |
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| 46 |
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| 47 |
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|
| 48 |
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| 50 |
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| 51 |
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| 61 |
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|
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|
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|
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|
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|
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|
| 189 |
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|
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|
| 192 |
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|
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|
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|
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
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|
| 203 |
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|
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|
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"rstrip": false,
|
| 211 |
+
"single_word": false,
|
| 212 |
+
"special": false
|
| 213 |
+
},
|
| 214 |
+
"32023": {
|
| 215 |
+
"content": "<pad23>",
|
| 216 |
+
"lstrip": false,
|
| 217 |
+
"normalized": false,
|
| 218 |
+
"rstrip": false,
|
| 219 |
+
"single_word": false,
|
| 220 |
+
"special": false
|
| 221 |
+
},
|
| 222 |
+
"32024": {
|
| 223 |
+
"content": "<pad24>",
|
| 224 |
+
"lstrip": false,
|
| 225 |
+
"normalized": false,
|
| 226 |
+
"rstrip": false,
|
| 227 |
+
"single_word": false,
|
| 228 |
+
"special": false
|
| 229 |
+
},
|
| 230 |
+
"32025": {
|
| 231 |
+
"content": "<pad25>",
|
| 232 |
+
"lstrip": false,
|
| 233 |
+
"normalized": false,
|
| 234 |
+
"rstrip": false,
|
| 235 |
+
"single_word": false,
|
| 236 |
+
"special": false
|
| 237 |
+
},
|
| 238 |
+
"32026": {
|
| 239 |
+
"content": "<pad26>",
|
| 240 |
+
"lstrip": false,
|
| 241 |
+
"normalized": false,
|
| 242 |
+
"rstrip": false,
|
| 243 |
+
"single_word": false,
|
| 244 |
+
"special": false
|
| 245 |
+
},
|
| 246 |
+
"32027": {
|
| 247 |
+
"content": "<pad27>",
|
| 248 |
+
"lstrip": false,
|
| 249 |
+
"normalized": false,
|
| 250 |
+
"rstrip": false,
|
| 251 |
+
"single_word": false,
|
| 252 |
+
"special": false
|
| 253 |
+
},
|
| 254 |
+
"32028": {
|
| 255 |
+
"content": "<pad28>",
|
| 256 |
+
"lstrip": false,
|
| 257 |
+
"normalized": false,
|
| 258 |
+
"rstrip": false,
|
| 259 |
+
"single_word": false,
|
| 260 |
+
"special": false
|
| 261 |
+
},
|
| 262 |
+
"32029": {
|
| 263 |
+
"content": "<pad29>",
|
| 264 |
+
"lstrip": false,
|
| 265 |
+
"normalized": false,
|
| 266 |
+
"rstrip": false,
|
| 267 |
+
"single_word": false,
|
| 268 |
+
"special": false
|
| 269 |
+
},
|
| 270 |
+
"32030": {
|
| 271 |
+
"content": "<pad30>",
|
| 272 |
+
"lstrip": false,
|
| 273 |
+
"normalized": false,
|
| 274 |
+
"rstrip": false,
|
| 275 |
+
"single_word": false,
|
| 276 |
+
"special": false
|
| 277 |
+
},
|
| 278 |
+
"32031": {
|
| 279 |
+
"content": "<pad31>",
|
| 280 |
+
"lstrip": false,
|
| 281 |
+
"normalized": false,
|
| 282 |
+
"rstrip": false,
|
| 283 |
+
"single_word": false,
|
| 284 |
+
"special": false
|
| 285 |
+
}
|
| 286 |
+
},
|
| 287 |
+
"additional_special_tokens": [],
|
| 288 |
+
"bos_token": "<s>",
|
| 289 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
| 290 |
+
"clean_up_tokenization_spaces": true,
|
| 291 |
+
"eos_token": "<|im_end|>",
|
| 292 |
+
"legacy": true,
|
| 293 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 294 |
+
"pad_token": "</s>",
|
| 295 |
+
"sp_model_kwargs": {},
|
| 296 |
+
"spaces_between_special_tokens": false,
|
| 297 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 298 |
+
"unk_token": "<unk>",
|
| 299 |
+
"use_default_system_prompt": false,
|
| 300 |
+
"use_fast": true
|
| 301 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
|
@@ -0,0 +1,633 @@
|
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|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.014284056314892022,
|
| 5 |
+
"eval_steps": 100,
|
| 6 |
+
"global_step": 400,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 3.5710140787230054e-05,
|
| 13 |
+
"eval_loss": 3.6428475379943848,
|
| 14 |
+
"eval_runtime": 937.0093,
|
| 15 |
+
"eval_samples_per_second": 12.584,
|
| 16 |
+
"eval_steps_per_second": 6.292,
|
| 17 |
+
"step": 1
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.00017855070393615026,
|
| 21 |
+
"grad_norm": 38.791404724121094,
|
| 22 |
+
"learning_rate": 1.6666666666666667e-05,
|
| 23 |
+
"loss": 11.968,
|
| 24 |
+
"step": 5
|
| 25 |
+
},
|
| 26 |
+
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