context_based_qa

This model is a fine-tuned version of camembert-base on the squad_fr dataset. It achieves the following results on the evaluation set:

• Loss: 1.6218

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: 16
• eval_batch_size: 16
• 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
1.8512	1.0	3829	1.7145
1.543	2.0	7658	1.6075
1.3907	3.0	11487	1.6218

Framework versions

• Transformers 4.32.1
• Pytorch 2.1.2+cpu
• Datasets 2.12.0
• Tokenizers 0.13.2

Dataset Usage

It used the squad_fr dataset from qwant.