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finbert-finetuned – AI Model by mehassan | AlphaNeural AI
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mehassan
/
finbert-finetuned
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0
transformers
tf
bert
text-classification
generated_from_keras_callback
ProsusAI/finbert
finetune
autotrain_compatible
endpoints_compatible
us
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mehassan/finbert-finetuned
This model is a fine-tuned version of
ProsusAI/finbert
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.1000
Train Accuracy: 0.9868
Validation Loss: 0.2368
Validation Accuracy: 0.9051
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': False, 'is_legacy_optimizer': False, 'learning_rate': 1e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Train Accuracy
Validation Loss
Validation Accuracy
Epoch
0.8773
0.6523
0.5521
0.9073
0
0.4449
0.9294
0.3423
0.9227
1
0.2584
0.9581
0.2543
0.9205
2
0.1562
0.9790
0.2481
0.9139
3
0.1000
0.9868
0.2368
0.9051
4
Framework versions
Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.16.1
Tokenizers 0.15.1
