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adl-hw3-gemma-ch-1 – AI Model by jazzson | AlphaNeural AI
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adl-hw3-gemma-ch-1
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peft
tensorboard
safetensors
generated_from_trainer
zake7749/gemma-2-2b-it-chinese-kyara-dpo
adapter
gemma
us
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adl-hw3-gemma-ch-1
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: 3.0069
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
2.3853
0.64
200
2.1371
1.9709
1.28
400
2.1690
1.6145
1.92
600
2.1344
1.1069
2.56
800
2.4925
0.849
3.2
1000
3.0008
0.5224
3.84
1200
3.0069
Framework versions
PEFT 0.13.2
Transformers 4.45.1
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3