End of training
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README.md
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This model is a fine-tuned version of [zake7749/gemma-2-2b-it-chinese-kyara-dpo](https://huggingface.co/zake7749/gemma-2-2b-it-chinese-kyara-dpo) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 0.1169 | 4.48 | 1400 | 3.7176 |
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| 0.0685 | 5.12 | 1600 | 3.7769 |
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| 0.0195 | 5.76 | 1800 | 3.7677 |
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### Framework versions
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This model is a fine-tuned version of [zake7749/gemma-2-2b-it-chinese-kyara-dpo](https://huggingface.co/zake7749/gemma-2-2b-it-chinese-kyara-dpo) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.0069
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.3853 | 0.64 | 200 | 2.1371 |
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| 1.9709 | 1.28 | 400 | 2.1690 |
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| 1.6145 | 1.92 | 600 | 2.1344 |
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| 1.1069 | 2.56 | 800 | 2.4925 |
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| 0.849 | 3.2 | 1000 | 3.0008 |
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| 0.5224 | 3.84 | 1200 | 3.0069 |
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### Framework versions
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