Angelectronic/gemma-QA-ViMMRC-Squad

Uploaded model

• Developed by: Angelectronic
• License: apache-2.0
• Finetuned from model : unsloth/gemma-1.1-7b-it-bnb-4bit

This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.

Evaluation

• ViMMRC test set: 0.8475 accuracy

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0002
• train_batch_size: 16
• eval_batch_size: 8
• seed: 3407
• gradient_accumulation_steps: 4
• eval_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 5
• num_epochs: 3

Framework versions

• PEFT 0.10.0
• Transformers 4.40.2
• Pytorch 2.3.0
• Datasets 2.19.1
• Tokenizers 0.19.1