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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_record_456_1765497008
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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_record_456_1765497008
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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: 0.7662
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- Num Input Tokens Seen: 825842872
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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: 456
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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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| 0.3162 | 2.0 | 55542 | 0.3295 | 82575768 |
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| 0.2316 | 4.0 | 111084 | 0.3089 | 165157440 |
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| 0.1282 | 6.0 | 166626 | 0.3197 | 247729272 |
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| 0.3115 | 8.0 | 222168 | 0.3684 | 330335744 |
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| 0.1834 | 10.0 | 277710 | 0.3845 | 412926800 |
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| 0.1034 | 12.0 | 333252 | 0.4592 | 495527344 |
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| 0.1371 | 14.0 | 388794 | 0.5166 | 578116744 |
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| 0.1282 | 16.0 | 444336 | 0.5714 | 660702320 |
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| 0.095 | 18.0 | 499878 | 0.7066 | 743276176 |
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| 0.1437 | 20.0 | 555420 | 0.7662 | 825842872 |
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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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