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llm_camembert_v1 – AI Model by niconoel | AlphaNeural AI
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niconoel
/
llm_camembert_v1
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0
transformers
tf
camembert
text-classification
generated_from_keras_callback
almanach/camembert-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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niconoel/llm_camembert_v1
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: 0.6396
Validation Loss: 0.7804
Train Accuracy: 0.7
Epoch: 4
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 310, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Validation Loss
Train Accuracy
Epoch
1.0894
1.0527
0.534
0
0.9218
0.8491
0.554
1
0.7508
0.8120
0.646
2
0.6843
0.7961
0.7
3
0.6396
0.7804
0.7
4
Framework versions
Transformers 4.48.3
TensorFlow 2.18.0
Datasets 3.3.2
Tokenizers 0.21.0
