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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_codealpacapy_1756735779 |
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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_codealpacapy_1756735779 |
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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 codealpacapy dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9111 |
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- Num Input Tokens Seen: 10232192 |
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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: 2 |
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- eval_batch_size: 2 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
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|:-------------:|:------:|:-----:|:---------------:|:-----------------:| |
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| 0.4264 | 0.5001 | 1908 | 0.5402 | 508608 | |
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| 0.5745 | 1.0003 | 3816 | 0.5149 | 1023840 | |
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| 0.4672 | 1.5004 | 5724 | 0.5128 | 1534400 | |
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| 0.4912 | 2.0005 | 7632 | 0.4941 | 2047464 | |
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| 0.687 | 2.5007 | 9540 | 0.5038 | 2563624 | |
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| 0.4155 | 3.0008 | 11448 | 0.4962 | 3068424 | |
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| 0.38 | 3.5009 | 13356 | 0.5108 | 3579432 | |
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| 0.4852 | 4.0010 | 15264 | 0.5102 | 4090736 | |
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| 0.3171 | 4.5012 | 17172 | 0.5321 | 4604416 | |
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| 0.2889 | 5.0013 | 19080 | 0.5387 | 5114800 | |
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| 0.4 | 5.5014 | 20988 | 0.5884 | 5619904 | |
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| 0.2025 | 6.0016 | 22896 | 0.5995 | 6137320 | |
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| 0.2342 | 6.5017 | 24804 | 0.6671 | 6637864 | |
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| 0.1245 | 7.0018 | 26712 | 0.6658 | 7159688 | |
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| 0.2067 | 7.5020 | 28620 | 0.7494 | 7672088 | |
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| 0.2948 | 8.0021 | 30528 | 0.7577 | 8185712 | |
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| 0.0856 | 8.5022 | 32436 | 0.8556 | 8700416 | |
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| 0.0914 | 9.0024 | 34344 | 0.8543 | 9210648 | |
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| 0.1008 | 9.5025 | 36252 | 0.9084 | 9716920 | |
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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 |
