Model save
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README.md
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---
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base_model: meta-llama/Meta-Llama-3-8B
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datasets:
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library_name: peft
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license: llama3
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tags:
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- alignment-handbook
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- trl
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- sft
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- generated_from_trainer
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# llama3-8b-classification-gpt4o-100k2
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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 the
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.
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- train_batch_size: 4
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- eval_batch_size: 2
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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---
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base_model: meta-llama/Meta-Llama-3-8B
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datasets:
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- generator
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library_name: peft
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license: llama3
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tags:
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- trl
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- sft
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- generated_from_trainer
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# llama3-8b-classification-gpt4o-100k2
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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 the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9855
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 4
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- eval_batch_size: 2
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.3936 | 0.9978 | 225 | 1.7919 |
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| 1.31 | 2.0 | 451 | 1.7869 |
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| 1.2416 | 2.9978 | 676 | 1.8242 |
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| 1.1447 | 4.0 | 902 | 1.9029 |
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| 1.098 | 4.9889 | 1125 | 1.9855 |
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### Framework versions
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adapter_model.safetensors
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all_results.json
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runs/Aug08_09-08-03_main-slippery-chicken-1-0-0/events.out.tfevents.1723122734.main-slippery-chicken-1-0-0.543.0
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train_results.json
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