Camemberta-Regv2

This model is a fine-tuned version of almanach/camembertav2-base-fquad on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.5452

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: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 9

Training results

Training Loss	Epoch	Step	Validation Loss
0.7503	1.0	40	1.4799
0.5866	2.0	80	1.5452

Framework versions

• Transformers 4.44.2
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.19.1