022f

This model is a fine-tuned version of google/gemma-4-E4B-it on the industry_classification_022f 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: 5e-05
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 16
• 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: cosine
• lr_scheduler_warmup_steps: 0.1
• num_epochs: 1.0

Training results

Framework versions

• PEFT 0.18.1
• Transformers 5.5.3
• Pytorch 2.10.0+cu130
• Datasets 4.0.0
• Tokenizers 0.22.2