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gemma_3_1b_causal_finetune – AI Model by jacob-danner | AlphaNeural AI
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gemma_3_1b_causal_finetune
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transformers
safetensors
gemma3_text
text-generation
generated_from_trainer
google/gemma-3-1b-pt
finetune
gemma
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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gemma_3_1b_causal_finetune
This model is a fine-tuned version of
google/gemma-3-1b-pt
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1655
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: 4.9437983806413086e-05
train_batch_size: 32
eval_batch_size: 32
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: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.4075
1.0
24
0.1655
Framework versions
Transformers 4.50.0.dev0
Pytorch 2.6.0
Datasets 3.4.0
Tokenizers 0.21.1
