metadata

library_name: transformers
license: mit
base_model: almanach/camembertv2-base
tags:
  - generated_from_trainer
datasets:
  - french_qa
model-index:
  - name: camembertv2-base-QA
    results: []

{'exact': 76.47427854454203,
 'f1': 88.24867416649663,
 'total': 6376,
 'HasAns_exact': 55.112923462986195,
 'HasAns_f1': 78.66171470689538,
 'HasAns_total': 3188,
 'NoAns_exact': 97.83563362609787,
 'NoAns_f1': 97.83563362609787,
 'NoAns_total': 3188,
 'best_exact': 76.47427854454203,
 'best_exact_thresh': 0.0,
 'best_f1': 88.24867416649728,
 'best_f1_thresh': 0.0}

camembertv2-base-QA

This model is a fine-tuned version of almanach/camembertv2-base on the french_qa dataset. It achieves the following results on the evaluation set:

Loss: 1.5647

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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.4453	1.0	27790	1.4057
1.3028	2.0	55580	1.5300
1.1695	3.0	83370	1.5647

Framework versions

Transformers 4.46.1
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.20.1