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Review_model_1_Sentiment – AI Model by dhruvsaxena11 | AlphaNeural AI
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Review_model_1_Sentiment
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transformers
tf
bert
text-classification
generated_from_keras_callback
prajjwal1/bert-small
finetune
mit
autotrain_compatible
endpoints_compatible
us
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Review_model_1_Sentiment
This model is a fine-tuned version of
prajjwal1/bert-small
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.1172
Train Accuracy: 0.3355
Epoch: 9
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': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Train Accuracy
Epoch
1.1234
0.3324
0
1.1213
0.3307
1
1.1214
0.3325
2
1.1192
0.3366
3
1.1225
0.3346
4
1.1189
0.3297
5
1.1188
0.3316
6
1.1212
0.3340
7
1.1263
0.3337
8
1.1172
0.3355
9
Framework versions
Transformers 4.41.2
TensorFlow 2.15.0
Datasets 2.20.0
Tokenizers 0.19.1
