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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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- base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct |
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- llama-factory |
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- transformers |
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pipeline_tag: text-generation |
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model-index: |
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- name: train_hellaswag_101112_1760638082 |
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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_hellaswag_101112_1760638082 |
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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 hellaswag dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4609 |
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- Num Input Tokens Seen: 218373904 |
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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: 0.001 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 101112 |
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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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| 0.4551 | 1.0 | 8979 | 0.4630 | 10920768 | |
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| 0.4637 | 2.0 | 17958 | 0.4625 | 21838176 | |
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| 0.4666 | 3.0 | 26937 | 0.4629 | 32764400 | |
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| 0.0354 | 4.0 | 35916 | 0.0856 | 43678848 | |
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| 0.0452 | 5.0 | 44895 | 0.0701 | 54599824 | |
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| 0.0537 | 6.0 | 53874 | 0.0636 | 65511392 | |
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| 0.1214 | 7.0 | 62853 | 0.0612 | 76440704 | |
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| 0.0844 | 8.0 | 71832 | 0.0587 | 87358976 | |
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| 0.0144 | 9.0 | 80811 | 0.0609 | 98270752 | |
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| 0.0191 | 10.0 | 89790 | 0.0642 | 109182912 | |
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| 0.054 | 11.0 | 98769 | 0.0669 | 120100304 | |
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| 0.0905 | 12.0 | 107748 | 0.0749 | 131010176 | |
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| 0.0035 | 13.0 | 116727 | 0.0840 | 141940544 | |
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| 0.0013 | 14.0 | 125706 | 0.0791 | 152867360 | |
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| 0.0087 | 15.0 | 134685 | 0.0999 | 163792736 | |
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| 0.0002 | 16.0 | 143664 | 0.1159 | 174711344 | |
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| 0.0036 | 17.0 | 152643 | 0.1191 | 185629312 | |
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| 0.0002 | 18.0 | 161622 | 0.1384 | 196536784 | |
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| 0.0002 | 19.0 | 170601 | 0.1391 | 207451408 | |
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| 0.0002 | 20.0 | 179580 | 0.1406 | 218373904 | |
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### Framework versions |
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- PEFT 0.17.1 |
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- Transformers 4.51.3 |
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- Pytorch 2.9.0+cu128 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.4 |
