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chat_router – AI Model by staturecrane | AlphaNeural AI
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staturecrane
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chat_router
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transformers
safetensors
gemma3_text
text-classification
generated_from_trainer
google/gemma-3-270m-it
finetune
gemma
text-embeddings-inference
endpoints_compatible
us
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chat_router
This model is a fine-tuned version of
google/gemma-3-270m-it
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.2240
Accuracy: 0.8413
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: 16
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.7672
1.0
649
0.5834
0.8109
0.3454
2.0
1298
0.6829
0.8317
0.1902
3.0
1947
0.9910
0.8422
0.0534
4.0
2596
1.2073
0.8395
0.0430
5.0
3245
1.2240
0.8413
Framework versions
Transformers 5.3.0
Pytorch 2.10.0+cu128
Datasets 4.8.2
Tokenizers 0.22.2
