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bert-base-uncased-sentiment-hugging-face – AI Model by psundara | AlphaNeural AI
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bert-base-uncased-sentiment-hugging-face
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transformers
safetensors
bert
text-classification
generated_from_trainer
text-embeddings-inference
endpoints_compatible
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bert-base-uncased-sentiment-hugging-face
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1759
Accuracy: 0.9306
F1: 0.9313
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:
learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.1308
1.0
350
0.1735
0.9294
0.9296
0.1080
2.0
700
0.1759
0.9306
0.9313
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
