results

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

• Loss: 1.8940

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

The training and Evaluation data are collection of Quotes from 3 open-source datasets

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 32
• 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
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.149	1.0	360	1.9154
2.0852	2.0	720	1.8930
2.0449	3.0	1080	1.8940

Framework versions

• PEFT 0.15.2
• Transformers 4.52.4
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.2