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finbert-sentiment-v1 – AI Model by rifatozkurt | AlphaNeural AI
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rifatozkurt
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finbert-sentiment-v1
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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finbert-sentiment-v1
This model is a fine-tuned version of
yiyanghkust/finbert-pretrain
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5863
Accuracy: 0.7631
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: 4.450562175829955e-06
train_batch_size: 4
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.593
1.0
1330
0.5560
0.7513
0.4803
2.0
2660
0.5863
0.7631
Framework versions
Transformers 4.29.2
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3
