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gemma3-270m-text-snac – AI Model by mohitmayank | AlphaNeural AI

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mohitmayank/
gemma3-270m-text-snac

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text-generation

generated_from_trainer

google/gemma-3-270m

autotrain_compatible

text-generation-inference

endpoints_compatible

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results

This model is a fine-tuned version of google/gemma-3-270m on an unknown dataset.

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: 2
eval_batch_size: 1
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: 3.0

Training results

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2