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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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- prefix-tuning |
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- generated_from_trainer |
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model-index: |
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- name: train_wsc_1756729607 |
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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_wsc_1756729607 |
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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 wsc dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3526 |
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- Num Input Tokens Seen: 437760 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 123 |
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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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| 0.5349 | 0.5020 | 125 | 1.2114 | 22304 | |
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| 0.4306 | 1.0040 | 250 | 0.4652 | 44064 | |
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| 0.3766 | 1.5060 | 375 | 0.3868 | 65808 | |
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| 0.3159 | 2.0080 | 500 | 0.3830 | 88048 | |
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| 0.3958 | 2.5100 | 625 | 0.3676 | 109696 | |
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| 0.3521 | 3.0120 | 750 | 0.3507 | 131872 | |
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| 0.3677 | 3.5141 | 875 | 0.3535 | 154416 | |
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| 0.3426 | 4.0161 | 1000 | 0.3507 | 176048 | |
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| 0.3393 | 4.5181 | 1125 | 0.3546 | 198432 | |
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| 0.3601 | 5.0201 | 1250 | 0.3592 | 219680 | |
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| 0.3422 | 5.5221 | 1375 | 0.3506 | 241136 | |
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| 0.3609 | 6.0241 | 1500 | 0.3502 | 263616 | |
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| 0.3457 | 6.5261 | 1625 | 0.3554 | 285424 | |
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| 0.315 | 7.0281 | 1750 | 0.3651 | 307792 | |
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| 0.3149 | 7.5301 | 1875 | 0.3626 | 329840 | |
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| 0.3441 | 8.0321 | 2000 | 0.3485 | 351552 | |
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| 0.3574 | 8.5341 | 2125 | 0.3516 | 373424 | |
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| 0.3673 | 9.0361 | 2250 | 0.3545 | 395616 | |
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| 0.3419 | 9.5382 | 2375 | 0.3475 | 417520 | |
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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 |
