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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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- lora |
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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_math_qa_42_1760637607 |
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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_math_qa_42_1760637607 |
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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 math_qa dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6375 |
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- Num Input Tokens Seen: 77902976 |
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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: 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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| 0.5315 | 1.0 | 6714 | 0.6721 | 3894552 | |
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| 0.6586 | 2.0 | 13428 | 0.6469 | 7790784 | |
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| 0.5869 | 3.0 | 20142 | 0.6375 | 11684296 | |
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| 0.5139 | 4.0 | 26856 | 0.7031 | 15578848 | |
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| 0.3445 | 5.0 | 33570 | 0.8775 | 19476576 | |
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| 0.1427 | 6.0 | 40284 | 1.0436 | 23368392 | |
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| 0.1597 | 7.0 | 46998 | 1.3234 | 27263880 | |
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| 0.2681 | 8.0 | 53712 | 1.4101 | 31154960 | |
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| 0.0754 | 9.0 | 60426 | 1.4897 | 35053760 | |
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| 0.4251 | 10.0 | 67140 | 1.6455 | 38947216 | |
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| 0.0184 | 11.0 | 73854 | 1.8252 | 42844400 | |
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| 0.0371 | 12.0 | 80568 | 1.8437 | 46741816 | |
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| 0.0 | 13.0 | 87282 | 2.0766 | 50638456 | |
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| 0.1223 | 14.0 | 93996 | 2.2302 | 54533112 | |
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| 0.0 | 15.0 | 100710 | 2.4064 | 58429624 | |
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| 0.0084 | 16.0 | 107424 | 3.1546 | 62323952 | |
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| 0.0 | 17.0 | 114138 | 3.3436 | 66220752 | |
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| 0.0 | 18.0 | 120852 | 3.6660 | 70113640 | |
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| 0.0 | 19.0 | 127566 | 3.8155 | 74009160 | |
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| 0.0 | 20.0 | 134280 | 3.8375 | 77902976 | |
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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 |
