End of training
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README.md
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---
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base_model: zake7749/gemma-2-2b-it-chinese-kyara-dpo
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library_name: peft
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license: gemma
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tags:
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- generated_from_trainer
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model-index:
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- name: adl-hw3-finetune-gemma-2-chinese-kyara-11
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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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# adl-hw3-finetune-gemma-2-chinese-kyara-11
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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: 2.3230
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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: 3e-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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- gradient_accumulation_steps: 2
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 2.8863 | 0.3552 | 100 | 2.5712 |
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| 2.3945 | 0.7105 | 200 | 2.4416 |
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| 2.3393 | 1.0657 | 300 | 2.3884 |
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| 2.2027 | 1.4210 | 400 | 2.3560 |
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| 2.166 | 1.7762 | 500 | 2.3378 |
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| 2.1028 | 2.1314 | 600 | 2.3358 |
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| 2.0567 | 2.4867 | 700 | 2.3258 |
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| 2.0447 | 2.8419 | 800 | 2.3230 |
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### Framework versions
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- PEFT 0.13.2
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- Transformers 4.45.1
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- Pytorch 2.5.0+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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