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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: 2.9838 |
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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: 2e-05 |
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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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.822 | 0.01 | 1 | 2.7914 | |
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| 2.4718 | 0.15 | 17 | 2.4825 | |
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| 2.4643 | 0.31 | 34 | 2.4859 | |
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| 2.4417 | 0.46 | 51 | 2.4764 | |
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| 2.4343 | 0.62 | 68 | 2.4696 | |
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| 2.4312 | 0.77 | 85 | 2.4645 | |
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| 2.385 | 0.92 | 102 | 2.4511 | |
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| 1.5771 | 1.05 | 119 | 2.5741 | |
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| 1.4889 | 1.21 | 136 | 2.5933 | |
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| 1.4574 | 1.36 | 153 | 2.6168 | |
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| 1.493 | 1.52 | 170 | 2.6088 | |
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| 1.4544 | 1.67 | 187 | 2.6049 | |
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| 1.4422 | 1.82 | 204 | 2.5967 | |
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| 1.3711 | 1.98 | 221 | 2.6013 | |
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| 0.7967 | 2.11 | 238 | 3.1609 | |
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| 0.7342 | 2.26 | 255 | 3.0085 | |
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| 0.7731 | 2.42 | 272 | 2.9758 | |
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| 0.7546 | 2.57 | 289 | 2.9832 | |
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| 0.7936 | 2.72 | 306 | 2.9837 | |
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| 0.7374 | 2.88 | 323 | 2.9838 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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