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--- |
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license: apache-2.0 |
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base_model: mistralai/Mistral-7B-v0.1 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: out |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
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# out |
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3731 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 6e-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 16 |
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- total_eval_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.9422 | 0.02 | 1 | 1.0091 | |
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| 1.0215 | 0.2 | 13 | 1.0004 | |
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| 0.9933 | 0.41 | 26 | 1.0071 | |
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| 0.9197 | 0.61 | 39 | 1.0136 | |
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| 0.9285 | 0.81 | 52 | 1.0075 | |
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| 0.5858 | 1.02 | 65 | 1.0082 | |
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| 0.5522 | 1.22 | 78 | 1.0546 | |
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| 0.4992 | 1.42 | 91 | 1.0683 | |
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| 0.6085 | 1.62 | 104 | 1.0638 | |
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| 0.5118 | 1.83 | 117 | 1.0654 | |
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| 0.3243 | 2.03 | 130 | 1.1113 | |
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| 0.3196 | 2.23 | 143 | 1.1957 | |
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| 0.2582 | 2.44 | 156 | 1.2038 | |
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| 0.273 | 2.64 | 169 | 1.1949 | |
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| 0.2818 | 2.84 | 182 | 1.2000 | |
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| 0.1427 | 3.05 | 195 | 1.2817 | |
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| 0.1246 | 3.25 | 208 | 1.3245 | |
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| 0.1394 | 3.45 | 221 | 1.3561 | |
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| 0.1088 | 3.66 | 234 | 1.3770 | |
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| 0.0985 | 3.86 | 247 | 1.3731 | |
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### Framework versions |
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- Transformers 4.34.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.14.0 |
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