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--- |
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library_name: peft |
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license: llama3 |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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tags: |
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- llama-factory |
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- lora |
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- generated_from_trainer |
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model-index: |
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- name: train_codealpacapy_456_1765305198 |
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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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# train_codealpacapy_456_1765305198 |
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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 codealpacapy dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4399 |
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- Num Input Tokens Seen: 24973864 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 456 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
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|:-------------:|:-----:|:-----:|:---------------:|:-----------------:| |
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| 0.4909 | 1.0 | 1908 | 0.4533 | 1246832 | |
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| 0.5107 | 2.0 | 3816 | 0.4463 | 2497936 | |
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| 0.4271 | 3.0 | 5724 | 0.4399 | 3743760 | |
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| 0.3778 | 4.0 | 7632 | 0.4473 | 4991472 | |
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| 0.9067 | 5.0 | 9540 | 0.4627 | 6239608 | |
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| 0.2917 | 6.0 | 11448 | 0.4996 | 7485248 | |
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| 0.4214 | 7.0 | 13356 | 0.5415 | 8733024 | |
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| 0.3429 | 8.0 | 15264 | 0.5936 | 9983720 | |
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| 0.1361 | 9.0 | 17172 | 0.6715 | 11229792 | |
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| 0.1287 | 10.0 | 19080 | 0.7588 | 12476552 | |
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| 0.0863 | 11.0 | 20988 | 0.8549 | 13725560 | |
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| 0.0963 | 12.0 | 22896 | 0.9736 | 14977976 | |
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| 0.0586 | 13.0 | 24804 | 1.0952 | 16225896 | |
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| 0.0351 | 14.0 | 26712 | 1.2337 | 17477224 | |
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| 0.013 | 15.0 | 28620 | 1.3411 | 18726216 | |
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| 0.0066 | 16.0 | 30528 | 1.4384 | 19973408 | |
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| 0.0078 | 17.0 | 32436 | 1.5158 | 21226656 | |
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| 0.0046 | 18.0 | 34344 | 1.5550 | 22472696 | |
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| 0.0027 | 19.0 | 36252 | 1.5828 | 23722376 | |
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| 0.0136 | 20.0 | 38160 | 1.5947 | 24973864 | |
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### Framework versions |
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- PEFT 0.15.2 |
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- Transformers 4.51.3 |
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- Pytorch 2.8.0+cu128 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
