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--- |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: TheBloke/Llama-2-7B-fp16 |
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model-index: |
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- name: saiga_double_lora200 |
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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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# saiga_double_lora200 |
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This model is a fine-tuned version of [TheBloke/Llama-2-7B-fp16](https://huggingface.co/TheBloke/Llama-2-7B-fp16) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4338 |
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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: 0.0003 |
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- train_batch_size: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 10 |
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- total_train_batch_size: 20 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- training_steps: 200 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.5965 | 2.86 | 20 | 1.6827 | |
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| 1.4291 | 5.71 | 40 | 1.7434 | |
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| 1.2662 | 8.57 | 60 | 1.8297 | |
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| 1.1034 | 11.43 | 80 | 1.9381 | |
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| 0.9573 | 14.29 | 100 | 2.0414 | |
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| 0.8209 | 17.14 | 120 | 2.1761 | |
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| 0.71 | 20.0 | 140 | 2.2933 | |
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| 0.6181 | 22.86 | 160 | 2.3642 | |
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| 0.572 | 25.71 | 180 | 2.4225 | |
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| 0.544 | 28.57 | 200 | 2.4338 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.36.2 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.15.2 |
