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FT-ProsusAI-finbert – AI Model by NLP-FEUP | AlphaNeural AI
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NLP-FEUP
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FT-ProsusAI-finbert
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transformers
safetensors
bert
text-classification
generated_from_trainer
ProsusAI/finbert
finetune
autotrain_compatible
endpoints_compatible
us
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FT-ProsusAI-finbert
This model is a fine-tuned version of
ProsusAI/finbert
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3920
Accuracy: 0.85
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
40
0.3980
0.825
No log
2.0
80
0.4363
0.875
No log
3.0
120
0.3920
0.85
Framework versions
Transformers 4.41.0
Pytorch 2.3.0
Datasets 2.19.1
Tokenizers 0.19.1
