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README.md
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This model is a fine-tuned version of [ytcheng/llama-3-8b-hf-sm-lora-merged](https://huggingface.co/ytcheng/llama-3-8b-hf-sm-lora-merged) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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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:
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- total_train_batch_size: 64
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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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- lr_scheduler_warmup_ratio: 0.
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- num_epochs: 8
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### Training results
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| Training Loss | Epoch
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### Framework versions
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This model is a fine-tuned version of [ytcheng/llama-3-8b-hf-sm-lora-merged](https://huggingface.co/ytcheng/llama-3-8b-hf-sm-lora-merged) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.0057
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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: 0.0001
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- total_train_batch_size: 64
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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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- lr_scheduler_warmup_ratio: 0.3
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- num_epochs: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.6712 | 1.0 | 33 | 3.2633 |
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| 2.6495 | 2.0 | 66 | 2.5112 |
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| 2.3212 | 3.0 | 99 | 2.3937 |
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| 2.0921 | 4.0 | 132 | 2.4587 |
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| 1.9862 | 5.0 | 165 | 2.8611 |
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| 1.9494 | 6.0 | 198 | 2.8478 |
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| 1.9216 | 7.0 | 231 | 3.0062 |
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| 1.9042 | 8.0 | 264 | 3.0057 |
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### Framework versions
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