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README.md
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---
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library_name: peft
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tags:
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- llama-factory
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- generated_from_trainer
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base_model: meta-llama/Meta-Llama-3-8B
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model-index:
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- name: Llama3_AAID_mixed_train_deneme
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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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# Llama3_AAID_mixed_train_deneme
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8574
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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: 0.0003
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- train_batch_size: 32
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 256
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.7577 | 0.0219 | 20 | 0.8374 |
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| 0.4704 | 0.0438 | 40 | 0.8379 |
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| 0.4495 | 0.0656 | 60 | 0.8216 |
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| 0.4326 | 0.0875 | 80 | 0.8272 |
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| 0.421 | 0.1094 | 100 | 0.8494 |
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| 0.406 | 0.1313 | 120 | 0.8483 |
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| 0.3974 | 0.1531 | 140 | 0.8315 |
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| 0.3989 | 0.1750 | 160 | 0.8574 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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adapter_model.safetensors
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