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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: 6.8300 |
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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: 0.0002 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- total_eval_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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| 1.2465 | 0.16 | 20 | 1.1498 | |
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| 8.597 | 0.32 | 40 | 8.5500 | |
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| 8.0391 | 0.48 | 60 | 7.6701 | |
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| 7.2703 | 0.65 | 80 | 7.4684 | |
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| 8.1368 | 0.81 | 100 | 7.7743 | |
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| 7.3305 | 0.97 | 120 | 7.3737 | |
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| 7.0599 | 1.13 | 140 | 7.2302 | |
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| 6.9011 | 1.29 | 160 | 7.1971 | |
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| 7.2194 | 1.45 | 180 | 7.0846 | |
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| 7.2281 | 1.61 | 200 | 7.0792 | |
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| 7.3379 | 1.77 | 220 | 7.0411 | |
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| 7.1461 | 1.94 | 240 | 7.0113 | |
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| 7.113 | 2.1 | 260 | 6.9626 | |
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| 6.7317 | 2.26 | 280 | 7.0031 | |
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| 6.8143 | 2.42 | 300 | 6.9219 | |
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| 6.9195 | 2.58 | 320 | 6.8336 | |
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| 6.3028 | 2.74 | 340 | 6.8596 | |
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| 6.8106 | 2.9 | 360 | 6.8300 | |
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### Framework versions |
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- Transformers 4.34.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.0 |
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