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stock_sentiment_hp – AI Model by slisowski | AlphaNeural AI
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slisowski
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stock_sentiment_hp
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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stock_sentiment_hp
This model is a fine-tuned version of
ProsusAI/finbert
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3513
Accuracy: 0.7899
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: 1.1207606211860571e-05
train_batch_size: 16
eval_batch_size: 16
seed: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
325
0.3687
0.7652
0.3705
2.0
650
0.3336
0.7809
0.3705
3.0
975
0.3449
0.7926
0.2435
4.0
1300
0.3513
0.7899
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.0
Tokenizers 0.13.2
