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FinBERT-Twitter-BTC – Dataset by NaturalStupidlty | AlphaNeural AI
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FinBERT-Twitter-BTC
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FinBERT-Twitter-BTC
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: 0.1871
F1: 0.9589
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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
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
F1
0.2051
1.0
3556
0.1965
0.9378
0.1475
2.0
7112
0.1586
0.9527
0.1004
3.0
10668
0.1674
0.9572
0.0612
4.0
14224
0.1871
0.9589
Framework versions
Transformers 4.27.3
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2
