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distilbert-ft-test3-pipeline-retrain – AI Model by thomasavare | AlphaNeural AI
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thomasavare
/
distilbert-ft-test3-pipeline-retrain
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transformers
tf
distilbert
text-classification
generated_from_keras_callback
thomasavare/distilbert-ft-test3
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-ft-test3-pipeline-retrain
This model is a fine-tuned version of
thomasavare/distilbert-ft-test3
on
thomasavare/deepl_output
(transcription). It achieves the following results on the evaluation set:
Train Loss: 1.2268
Train Accuracy: 0.7180
Epoch: 2
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-07, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Train Accuracy
Epoch
1.2639
0.7020
0
1.2616
0.6940
1
1.2268
0.7180
2
Framework versions
Transformers 4.33.2
TensorFlow 2.13.0
Datasets 2.14.5
Tokenizers 0.13.3
