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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-7
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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-7
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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: 2.5108
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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: 0.0001
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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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| 1.2682 | 0.3556 | 200 | 2.4560 |
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| 2.2138 | 0.7111 | 400 | 2.1476 |
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| 2.0192 | 1.0667 | 600 | 2.2137 |
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| 1.5408 | 1.4222 | 800 | 2.2383 |
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| 1.5706 | 1.7778 | 1000 | 2.2060 |
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| 1.3498 | 2.1333 | 1200 | 2.4969 |
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| 1.0847 | 2.4889 | 1400 | 2.5013 |
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| 1.0975 | 2.8444 | 1600 | 2.5108 |
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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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