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distilbert-base-uncased-finetuned-all_data_v2 – AI Model by harishs | AlphaNeural AI
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harishs
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distilbert-base-uncased-finetuned-all_data_v2
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transformers
tf
distilbert
fill-mask
generated_from_keras_callback
harishs/distilbert-base-uncased-finetuned-all_data_v2
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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harishs/distilbert-base-uncased-finetuned-all_data_v2
This model is a fine-tuned version of
harishs/distilbert-base-uncased-finetuned-all_data_v2
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.7670
Validation Loss: 0.8276
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': 'AdamWeightDecay', 'learning_rate': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 601, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 250, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: mixed_float16
Training results
Train Loss
Validation Loss
Epoch
0.7802
0.8278
0
0.7748
0.8348
1
0.7670
0.8276
2
Framework versions
Transformers 4.34.0
TensorFlow 2.14.0
Datasets 2.14.5
Tokenizers 0.14.0
