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train_math_qa_1754507502

PEFT
Safetensors
llama-factory
prompt-tuning
Generated from Trainer
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README.md ADDED
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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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+ - generated_from_trainer
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+ model-index:
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+ - name: train_math_qa_1754507502
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+ results: []
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+ ---
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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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+
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+ # train_math_qa_1754507502
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+
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6699
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+ - Num Input Tokens Seen: 38732208
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
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+ | 0.6914 | 0.5 | 3357 | 0.7456 | 1938656 |
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+ | 0.775 | 1.0 | 6714 | 0.7076 | 3870688 |
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+ | 0.6317 | 1.5 | 10071 | 0.6910 | 5801696 |
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+ | 0.7525 | 2.0 | 13428 | 0.6778 | 7741288 |
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+ | 0.6871 | 2.5 | 16785 | 0.6760 | 9678632 |
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+ | 0.7372 | 3.0 | 20142 | 0.6749 | 11611120 |
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+ | 0.7415 | 3.5 | 23499 | 0.6681 | 13550032 |
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+ | 0.7147 | 4.0 | 26856 | 0.6683 | 15489040 |
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+ | 0.7027 | 4.5 | 30213 | 0.6750 | 17420720 |
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+ | 0.7274 | 5.0 | 33570 | 0.6648 | 19360624 |
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+ | 0.5673 | 5.5 | 36927 | 0.6664 | 21295472 |
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+ | 0.6829 | 6.0 | 40284 | 0.6708 | 23230504 |
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+ | 0.7997 | 6.5 | 43641 | 0.6713 | 25166536 |
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+ | 0.7792 | 7.0 | 46998 | 0.6682 | 27107328 |
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+ | 0.5814 | 7.5 | 50355 | 0.6710 | 29044256 |
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+ | 0.6262 | 8.0 | 53712 | 0.6701 | 30985288 |
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+ | 0.6886 | 8.5 | 57069 | 0.6694 | 32925544 |
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+ | 0.7695 | 9.0 | 60426 | 0.6695 | 34856680 |
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+ | 0.6357 | 9.5 | 63783 | 0.6699 | 36790952 |
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+ | 0.8185 | 10.0 | 67140 | 0.6699 | 38732208 |
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+
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+
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+ ### Framework versions
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+
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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
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