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--- |
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base_model: NousResearch/Llama-2-7b-hf |
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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 [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9443 |
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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: 3 |
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- total_train_batch_size: 3 |
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- total_eval_batch_size: 3 |
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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: 100 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.0254 | 0.03 | 1 | 3.0959 | |
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| 3.2648 | 0.06 | 2 | 3.0959 | |
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| 3.0345 | 0.12 | 4 | 1.6018 | |
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| 1.4912 | 0.18 | 6 | 1.4104 | |
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| 1.4298 | 0.24 | 8 | 1.2483 | |
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| 1.2217 | 0.29 | 10 | 1.1785 | |
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| 1.1975 | 0.35 | 12 | 1.1200 | |
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| 1.1377 | 0.41 | 14 | 1.0922 | |
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| 1.0991 | 0.47 | 16 | 1.0625 | |
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| 0.9783 | 0.53 | 18 | 1.0422 | |
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| 1.0558 | 0.59 | 20 | 1.0100 | |
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| 0.9894 | 0.65 | 22 | 0.9902 | |
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| 0.9677 | 0.71 | 24 | 0.9780 | |
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| 0.9782 | 0.76 | 26 | 0.9679 | |
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| 0.9944 | 0.82 | 28 | 0.9595 | |
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| 0.9245 | 0.88 | 30 | 0.9509 | |
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| 0.9676 | 0.94 | 32 | 0.9468 | |
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| 1.0653 | 1.0 | 34 | 0.9443 | |
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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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