| --- |
| license: apache-2.0 |
| base_model: mistralai/Mistral-7B-v0.1 |
| tags: |
| - alignment-handbook |
| - generated_from_trainer |
| - trl |
| - sft |
| - generated_from_trainer |
| datasets: |
| - HuggingFaceH4/ultrachat_200k |
| - dlibf/glaive-code-assistant |
| - dlibf/metamathqa_formatted |
| model-index: |
| - name: zephyr-7b-sft-math_code |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # zephyr-7b-sft-math_code |
| |
| This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the HuggingFaceH4/ultrachat_200k, the dlibf/glaive-code-assistant and the dlibf/metamathqa_formatted datasets. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.9659 |
| |
| ## Model description |
| |
| More information needed |
| |
| ## Intended uses & limitations |
| |
| More information needed |
| |
| ## Training and evaluation data |
| |
| More information needed |
| |
| ## Training procedure |
| |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 8 |
| - total_train_batch_size: 128 |
| - total_eval_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 1 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.9313 | 1.0 | 1134 | 0.9659 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.36.2 |
| - Pytorch 2.1.2+cu121 |
| - Datasets 2.14.6 |
| - Tokenizers 0.15.1 |
|
|
