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okok2 – AI Model by kkkkkjjjjjj | AlphaNeural AI
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okok2
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
yiyanghkust/finbert-tone
finetune
autotrain_compatible
endpoints_compatible
us
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Model card
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okok2
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: 0.2004
Accuracy: 0.9567
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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
150
0.1752
0.9483
No log
2.0
300
0.2143
0.9617
No log
3.0
450
0.2004
0.9567
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
