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run_gemma-2-2b_20250507_014135 – AI Model by ethansandbar | AlphaNeural AI
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ethansandbar
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run_gemma-2-2b_20250507_014135
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peft
safetensors
generated_from_trainer
google/gemma-2-2b
adapter
gemma
us
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run_gemma-2-2b_20250507_014135
This model is a fine-tuned version of
google/gemma-2-2b
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3791
Accuracy: 0.9261
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: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3904
1.0
250
0.4006
0.862
0.2266
2.0
500
0.2929
0.934
0.2031
3.0
750
0.2622
0.938
0.2212
4.0
1000
0.2689
0.938
0.1237
5.0
1250
0.2955
0.94
Framework versions
PEFT 0.15.0
Transformers 4.50.0.dev0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
