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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_42_1760629239
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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_42_1760629239
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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: 0.5974
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- Num Input Tokens Seen: 22157104
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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: 1e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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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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| 0.5308 | 2.0 | 3392 | 0.5023 | 2222792 |
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| 0.6077 | 4.0 | 6784 | 0.4844 | 4435584 |
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| 0.4561 | 6.0 | 10176 | 0.4838 | 6643816 |
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| 0.4409 | 8.0 | 13568 | 0.4914 | 8867608 |
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| 0.356 | 10.0 | 16960 | 0.5062 | 11077216 |
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| 0.4671 | 12.0 | 20352 | 0.5286 | 13294344 |
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| 0.3736 | 14.0 | 23744 | 0.5563 | 15504440 |
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| 0.4832 | 16.0 | 27136 | 0.5748 | 17721880 |
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| 0.3324 | 18.0 | 30528 | 0.5915 | 19940536 |
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| 0.3648 | 20.0 | 33920 | 0.5974 | 22157104 |
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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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