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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_task_double_lora350 |
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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_task_double_lora350 |
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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: 3.6634 |
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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: 350 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.5302 | 9.26 | 50 | 2.1777 | |
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| 1.0061 | 18.52 | 100 | 2.4897 | |
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| 0.5505 | 27.78 | 150 | 2.8614 | |
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| 0.2832 | 37.04 | 200 | 3.2451 | |
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| 0.1525 | 46.3 | 250 | 3.5339 | |
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| 0.1026 | 55.56 | 300 | 3.6407 | |
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| 0.0902 | 64.81 | 350 | 3.6634 | |
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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 |
