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train_codealpacapy_123_1762532132

PEFT
Safetensors
llama-factory
p-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_codealpacapy_123_1762532132
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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_codealpacapy_123_1762532132
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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: 0.4844
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+ - Num Input Tokens Seen: 24941912
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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: 0.001
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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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+
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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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+ | 0.6045 | 1.0 | 1908 | 0.5060 | 1248304 |
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+ | 0.4393 | 2.0 | 3816 | 0.4936 | 2497016 |
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+ | 0.4425 | 3.0 | 5724 | 0.4876 | 3742552 |
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+ | 0.4323 | 4.0 | 7632 | 0.4798 | 4985200 |
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+ | 0.4724 | 5.0 | 9540 | 0.4778 | 6233920 |
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+ | 0.4912 | 6.0 | 11448 | 0.4766 | 7478504 |
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+ | 0.4458 | 7.0 | 13356 | 0.4769 | 8722744 |
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+ | 0.7625 | 8.0 | 15264 | 0.4764 | 9977520 |
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+ | 0.4813 | 9.0 | 17172 | 0.4771 | 11225416 |
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+ | 0.6371 | 10.0 | 19080 | 0.4768 | 12472912 |
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+ | 0.5587 | 11.0 | 20988 | 0.4760 | 13721824 |
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+ | 0.4563 | 12.0 | 22896 | 0.4780 | 14970528 |
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+ | 0.5769 | 13.0 | 24804 | 0.4780 | 16220808 |
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+ | 0.3753 | 14.0 | 26712 | 0.4807 | 17464792 |
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+ | 0.3651 | 15.0 | 28620 | 0.4802 | 18706976 |
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+ | 0.3806 | 16.0 | 30528 | 0.4817 | 19956544 |
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+ | 0.3822 | 17.0 | 32436 | 0.4826 | 21204416 |
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+ | 0.4014 | 18.0 | 34344 | 0.4838 | 22451928 |
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+ | 0.3717 | 19.0 | 36252 | 0.4843 | 23696296 |
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+ | 0.5983 | 20.0 | 38160 | 0.4844 | 24941912 |
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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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