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--- |
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license: llama3 |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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datasets: |
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- generator |
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model-index: |
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- name: llama3-lora-codigopenal-dir |
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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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# llama3-lora-codigopenal-dir |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6629 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 1399 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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_ratio: 0.1 |
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- training_steps: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-------:|:----:|:---------------:| |
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| 1.4127 | 3.6364 | 20 | 1.4021 | |
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| 1.3428 | 7.2727 | 40 | 1.2777 | |
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| 1.1822 | 10.9091 | 60 | 1.1052 | |
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| 0.9983 | 14.5455 | 80 | 0.9440 | |
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| 0.825 | 18.1818 | 100 | 0.7987 | |
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| 0.7081 | 21.8182 | 120 | 0.7390 | |
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| 0.6527 | 25.4545 | 140 | 0.7078 | |
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| 0.6046 | 29.0909 | 160 | 0.6855 | |
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| 0.566 | 32.7273 | 180 | 0.6699 | |
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| 0.5268 | 36.3636 | 200 | 0.6610 | |
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| 0.4891 | 40.0 | 220 | 0.6568 | |
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| 0.4519 | 43.6364 | 240 | 0.6629 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
