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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_math_qa_123_1760637721 |
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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_123_1760637721 |
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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: 0.7989 |
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- Num Input Tokens Seen: 77961608 |
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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: 0.03 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: 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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| 0.8045 | 1.0 | 6714 | 0.8024 | 3894688 | |
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| 0.8422 | 2.0 | 13428 | 0.8020 | 7789256 | |
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| 0.792 | 3.0 | 20142 | 0.8027 | 11683856 | |
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| 0.7935 | 4.0 | 26856 | 0.8017 | 15585872 | |
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| 0.8031 | 5.0 | 33570 | 0.8017 | 19482128 | |
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| 0.815 | 6.0 | 40284 | 0.8029 | 23376776 | |
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| 0.8242 | 7.0 | 46998 | 0.8019 | 27278720 | |
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| 0.7873 | 8.0 | 53712 | 0.8020 | 31180904 | |
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| 0.8132 | 9.0 | 60426 | 0.8010 | 35077032 | |
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| 0.8102 | 10.0 | 67140 | 0.8017 | 38976336 | |
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| 0.7992 | 11.0 | 73854 | 0.8003 | 42875264 | |
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| 0.7982 | 12.0 | 80568 | 0.8000 | 46772480 | |
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| 0.8272 | 13.0 | 87282 | 0.7996 | 50673016 | |
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| 0.8153 | 14.0 | 93996 | 0.7991 | 54573896 | |
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| 0.8029 | 15.0 | 100710 | 0.8003 | 58472760 | |
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| 0.7927 | 16.0 | 107424 | 0.7989 | 62371472 | |
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| 0.7752 | 17.0 | 114138 | 0.8002 | 66268336 | |
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| 0.81 | 18.0 | 120852 | 0.7994 | 70167432 | |
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| 0.8225 | 19.0 | 127566 | 0.7995 | 74065984 | |
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| 0.8063 | 20.0 | 134280 | 0.7992 | 77961608 | |
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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 |
