gemma-3-270m-opus-100-en-zh-causal

This model is a fine-tuned version of google/gemma-3-270m on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.1900

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: 8
• eval_batch_size: 8
• 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: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.1617	1.0	1125	2.1900

Framework versions

• Transformers 4.55.4
• Pytorch 2.8.0+cu128
• Datasets 3.3.2
• Tokenizers 0.21.4