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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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- ia3 |
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- generated_from_trainer |
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model-index: |
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- name: train_codealpacapy_123_1762572064 |
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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_123_1762572064 |
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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: 0.4916 |
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- Num Input Tokens Seen: 24941912 |
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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: 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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| 0.7537 | 1.0 | 1908 | 0.7072 | 1248304 | |
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| 0.5438 | 2.0 | 3816 | 0.5793 | 2497016 | |
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| 0.4952 | 3.0 | 5724 | 0.5439 | 3742552 | |
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| 0.4696 | 4.0 | 7632 | 0.5270 | 4985200 | |
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| 0.5107 | 5.0 | 9540 | 0.5173 | 6233920 | |
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| 0.5222 | 6.0 | 11448 | 0.5106 | 7478504 | |
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| 0.4821 | 7.0 | 13356 | 0.5058 | 8722744 | |
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| 0.8077 | 8.0 | 15264 | 0.5022 | 9977520 | |
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| 0.5135 | 9.0 | 17172 | 0.4996 | 11225416 | |
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| 0.6831 | 10.0 | 19080 | 0.4971 | 12472912 | |
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| 0.5967 | 11.0 | 20988 | 0.4956 | 13721824 | |
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| 0.4765 | 12.0 | 22896 | 0.4947 | 14970528 | |
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| 0.6152 | 13.0 | 24804 | 0.4937 | 16220808 | |
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| 0.4111 | 14.0 | 26712 | 0.4929 | 17464792 | |
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| 0.4217 | 15.0 | 28620 | 0.4923 | 18706976 | |
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| 0.4192 | 16.0 | 30528 | 0.4920 | 19956544 | |
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| 0.4315 | 17.0 | 32436 | 0.4919 | 21204416 | |
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| 0.4564 | 18.0 | 34344 | 0.4918 | 22451928 | |
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| 0.4151 | 19.0 | 36252 | 0.4916 | 23696296 | |
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| 0.6589 | 20.0 | 38160 | 0.4917 | 24941912 | |
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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 |
