CamembertQA3 – AI Model by pandaIA | AlphaNeural AI

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pandaIA/
CamembertQA3

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question-answering

generated_from_keras_callback

endpoints_compatible

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CamembertQA3

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

Train Loss: 1.3289
Train End Logits Accuracy: 0.7077
Train Start Logits Accuracy: 0.6139
Validation Loss: 1.6439
Validation End Logits Accuracy: 0.6508
Validation Start Logits Accuracy: 0.5665
Epoch: 1

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:

optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 5e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Train End Logits Accuracy	Train Start Logits Accuracy	Validation Loss	Validation End Logits Accuracy	Validation Start Logits Accuracy	Epoch
1.8724	0.5931	0.5097	1.6982	0.6436	0.5656	0
1.3289	0.7077	0.6139	1.6439	0.6508	0.5665	1

Framework versions

Transformers 4.30.2
TensorFlow 2.12.0
Datasets 2.13.1
Tokenizers 0.13.3