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adl-hw3-finetune-gemma-2-chinese-kyara-10
This model is a fine-tuned version of zake7749/gemma-2-2b-it-chinese-kyara-dpo on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5204
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.4673 | 0.7105 | 200 | 2.3491 |
2.0993 | 1.4210 | 400 | 2.3077 |
1.8831 | 2.1314 | 600 | 2.3793 |
1.6486 | 2.8419 | 800 | 2.3754 |
1.4189 | 3.5524 | 1000 | 2.5204 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.1
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for jazzson/adl-hw3-finetune-gemma-2-chinese-kyara-10
Base model
google/gemma-2-2b
Finetuned
google/gemma-2-2b-it
Finetuned
zake7749/gemma-2-2b-it-chinese-kyara-dpo