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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_1755694512
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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_1755694512
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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: 0.8773
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- Num Input Tokens Seen: 9716920
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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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| 0.4217 | 0.5001 | 1908 | 0.5447 | 508608 |
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| 0.5661 | 1.0003 | 3816 | 0.6061 | 1023840 |
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| 0.4662 | 1.5004 | 5724 | 0.5115 | 1534400 |
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| 0.5013 | 2.0005 | 7632 | 0.4961 | 2047464 |
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| 0.6815 | 2.5007 | 9540 | 0.5051 | 2563624 |
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| 0.3892 | 3.0008 | 11448 | 0.4983 | 3068424 |
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| 0.3807 | 3.5009 | 13356 | 0.5102 | 3579432 |
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| 0.5023 | 4.0010 | 15264 | 0.5103 | 4090736 |
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| 0.3171 | 4.5012 | 17172 | 0.5280 | 4604416 |
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| 0.3007 | 5.0013 | 19080 | 0.5387 | 5114800 |
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| 0.3973 | 5.5014 | 20988 | 0.5853 | 5619904 |
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| 0.2143 | 6.0016 | 22896 | 0.5941 | 6137320 |
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| 0.2133 | 6.5017 | 24804 | 0.6379 | 6637864 |
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| 0.1318 | 7.0018 | 26712 | 0.6575 | 7159688 |
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| 0.2348 | 7.5020 | 28620 | 0.7354 | 7672088 |
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| 0.3334 | 8.0021 | 30528 | 0.7432 | 8185712 |
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| 0.1042 | 8.5022 | 32436 | 0.8241 | 8700416 |
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| 0.1284 | 9.0024 | 34344 | 0.8331 | 9210648 |
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| 0.1177 | 9.5025 | 36252 | 0.8773 | 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
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