QAmembert_finetuned

This model is a fine-tuned version of CATIE-AQ/QAmembert-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0004

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	61	0.0006
No log	2.0	122	0.0005
No log	3.0	183	0.0004

Framework versions

• Transformers 4.39.3
• Pytorch 2.3.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2