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gemma_noisy_zarma_finetune – AI Model by huyisme-005 | AlphaNeural AI
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gemma_noisy_zarma_finetune
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transformers
safetensors
gemma3_text
text-generation
generated_from_trainer
google/gemma-3-270m
finetune
gemma
text-generation-inference
endpoints_compatible
us
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gemma_noisy_zarma_finetune
This model is a fine-tuned version of
google/gemma-3-270m
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.0806
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: 2e-05
train_batch_size: 28
eval_batch_size: 28
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.2439
1.0
9643
1.6537
0.9003
2.0
19286
1.8666
0.696
3.0
28929
2.0806
Framework versions
Transformers 4.57.0
Pytorch 2.8.0+cu128
Datasets 4.1.1
Tokenizers 0.22.1
