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README.md
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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_1754891836
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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_1754891836
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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: 0.4932
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- Num Input Tokens Seen: 12472912
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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: 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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| 0.5525 | 0.5 | 954 | 0.5660 | 616992 |
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| 0.642 | 1.0 | 1908 | 0.5418 | 1248304 |
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| 0.5482 | 1.5 | 2862 | 0.5222 | 1877040 |
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| 0.4587 | 2.0 | 3816 | 0.5130 | 2497016 |
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| 0.6237 | 2.5 | 4770 | 0.5073 | 3129368 |
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| 0.443 | 3.0 | 5724 | 0.5051 | 3742552 |
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| 0.5001 | 3.5 | 6678 | 0.5016 | 4361944 |
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| 0.4455 | 4.0 | 7632 | 0.4978 | 4985200 |
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| 0.5341 | 4.5 | 8586 | 0.4971 | 5611760 |
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| 0.5067 | 5.0 | 9540 | 0.4963 | 6233920 |
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| 0.4896 | 5.5 | 10494 | 0.4949 | 6849184 |
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| 0.5004 | 6.0 | 11448 | 0.4946 | 7478504 |
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| 0.3888 | 6.5 | 12402 | 0.4947 | 8083560 |
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| 0.4767 | 7.0 | 13356 | 0.4938 | 8722744 |
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| 0.4332 | 7.5 | 14310 | 0.4934 | 9345976 |
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| 0.7832 | 8.0 | 15264 | 0.4936 | 9977520 |
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| 0.2855 | 8.5 | 16218 | 0.4937 | 10604656 |
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| 0.5143 | 9.0 | 17172 | 0.4935 | 11225416 |
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| 0.4405 | 9.5 | 18126 | 0.4935 | 11845704 |
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| 0.672 | 10.0 | 19080 | 0.4932 | 12472912 |
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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
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