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--- |
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license: llama2 |
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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-Chat-GPTQ |
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model-index: |
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- name: Model_Finetunned |
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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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# Model_Finetunned |
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This model is a fine-tuned version of [TheBloke/Llama-2-7B-Chat-GPTQ](https://huggingface.co/TheBloke/Llama-2-7B-Chat-GPTQ) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3209 |
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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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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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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- lr_scheduler_warmup_steps: 2 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.7664 | 0.9796 | 12 | 2.5081 | |
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| 2.2918 | 1.9592 | 24 | 2.1012 | |
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| 1.9284 | 2.9388 | 36 | 1.8079 | |
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| 1.5278 | 4.0 | 49 | 1.5725 | |
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| 1.4118 | 4.9796 | 61 | 1.3976 | |
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| 1.2716 | 5.9592 | 73 | 1.3459 | |
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| 1.2207 | 6.9388 | 85 | 1.3274 | |
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| 1.0976 | 8.0 | 98 | 1.3224 | |
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| 1.1685 | 8.9796 | 110 | 1.3208 | |
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| 1.0552 | 9.7959 | 120 | 1.3209 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
