Gemma_mts_dialogue_clinical_note_lora_CC

This model is a fine-tuned version of google/gemma-2b on the generator 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: 0.0002
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 10

Training results

Framework versions

• PEFT 0.10.0
• Transformers 4.40.1
• Pytorch 2.0.1+cu117
• Datasets 2.19.0
• Tokenizers 0.19.1