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tradepulse-finbert-prod – AI Model by Bencode92 | AlphaNeural AI
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Bencode92
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tradepulse-finbert-prod
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tensorboard
safetensors
bert
generated_from_trainer
yiyanghkust/finbert-tone
finetune
us
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tradepulse-finbert-prod
This model is a fine-tuned version of
yiyanghkust/finbert-tone
on the None dataset. It achieves the following results on the evaluation set:
Loss: 9.4917
Accuracy: 0.0
Precision: 0.0
Recall: 0.0
F1: 0.0
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
lr_scheduler_warmup_steps: 5
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
No log
1.0
3
13.7030
0.0
0.0
0.0
0.0
No log
2.0
6
11.3165
0.0
0.0
0.0
0.0
No log
3.0
9
9.4917
0.0
0.0
0.0
0.0
Framework versions
Transformers 4.41.0
Pytorch 2.7.1+cpu
Datasets 2.19.1
Tokenizers 0.19.1
