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--- |
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base_model: hivaze/ParaLex-Llama-3-8B-SFT |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: results_packing |
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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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# results_packing |
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This model is a fine-tuned version of [hivaze/ParaLex-Llama-3-8B-SFT](https://huggingface.co/hivaze/ParaLex-Llama-3-8B-SFT) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8083 |
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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: 2e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 17 |
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- total_train_batch_size: 17 |
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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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- num_epochs: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 7.3306 | 1.25 | 5 | 5.9428 | |
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| 5.4669 | 2.5 | 10 | 4.3334 | |
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| 4.0282 | 3.75 | 15 | 3.1156 | |
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| 2.9271 | 5.0 | 20 | 2.3114 | |
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| 2.3074 | 6.25 | 25 | 1.9202 | |
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| 1.9795 | 7.5 | 30 | 1.8083 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
