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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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- generated_from_trainer |
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model-index: |
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- name: train_copa_1757340252 |
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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_copa_1757340252 |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1652 |
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- Num Input Tokens Seen: 281984 |
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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: 789 |
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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: 10.0 |
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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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| 0.2013 | 0.5 | 45 | 0.1095 | 14240 | |
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| 0.2033 | 1.0 | 90 | 0.0885 | 28192 | |
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| 0.0778 | 1.5 | 135 | 0.0860 | 42080 | |
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| 0.1119 | 2.0 | 180 | 0.0777 | 56192 | |
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| 0.0346 | 2.5 | 225 | 0.0823 | 70048 | |
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| 0.1199 | 3.0 | 270 | 0.0711 | 84192 | |
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| 0.0165 | 3.5 | 315 | 0.1047 | 98304 | |
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| 0.0248 | 4.0 | 360 | 0.1218 | 112544 | |
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| 0.003 | 4.5 | 405 | 0.1436 | 126784 | |
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| 0.0269 | 5.0 | 450 | 0.1350 | 140960 | |
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| 0.0008 | 5.5 | 495 | 0.1389 | 155200 | |
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| 0.027 | 6.0 | 540 | 0.1530 | 169216 | |
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| 0.0006 | 6.5 | 585 | 0.1628 | 183232 | |
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| 0.0002 | 7.0 | 630 | 0.1684 | 197248 | |
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| 0.0006 | 7.5 | 675 | 0.1641 | 211424 | |
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| 0.1687 | 8.0 | 720 | 0.1717 | 225440 | |
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| 0.0001 | 8.5 | 765 | 0.1706 | 239392 | |
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| 0.0014 | 9.0 | 810 | 0.1723 | 253632 | |
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| 0.0004 | 9.5 | 855 | 0.1679 | 267680 | |
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| 0.0003 | 10.0 | 900 | 0.1652 | 281984 | |
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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 |
