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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_multirc_42_1762157867 |
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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_multirc_42_1762157867 |
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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 multirc dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3516 |
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- Num Input Tokens Seen: 235236032 |
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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: 1e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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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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| 0.3043 | 2.0 | 10898 | 0.3264 | 23532080 | |
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| 0.2302 | 4.0 | 21796 | 0.2811 | 47052688 | |
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| 0.3924 | 6.0 | 32694 | 0.2795 | 70559552 | |
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| 0.5919 | 8.0 | 43592 | 0.4028 | 94090912 | |
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| 0.2932 | 10.0 | 54490 | 0.4974 | 117581632 | |
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| 0.1446 | 12.0 | 65388 | 0.7075 | 141126560 | |
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| 0.0681 | 14.0 | 76286 | 0.9348 | 164667088 | |
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| 0.0119 | 16.0 | 87184 | 1.1813 | 188204656 | |
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| 0.0001 | 18.0 | 98082 | 1.3180 | 211741792 | |
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| 0.0 | 20.0 | 108980 | 1.3516 | 235236032 | |
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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 |
