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finbert-financial-sentiment – AI Model by marinatamayo | AlphaNeural AI
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finbert-financial-sentiment
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transformers
safetensors
bert
text-classification
finance
sentiment-analysis
generated_from_trainer
ProsusAI/finbert
finetune
text-embeddings-inference
endpoints_compatible
us
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finbert-financial-sentiment
This model is a fine-tuned version of
ProsusAI/finbert
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4223
Accuracy: 0.8802
F1 Macro: 0.8679
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: 16
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: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1 Macro
0.4118
1.0
194
0.3598
0.8698
0.8445
0.2097
2.0
388
0.3254
0.8763
0.8597
0.1185
3.0
582
0.4130
0.8814
0.8654
0.0258
4.0
776
0.4223
0.8802
0.8679
Framework versions
Transformers 5.7.0
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2
