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finbert-japan-advanced-v2-fix – AI Model by dgawghbuidw | AlphaNeural AI
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finbert-japan-advanced-v2-fix
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transformers
safetensors
bert
generated_from_trainer
ProsusAI/finbert
finetune
endpoints_compatible
us
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finbert-japan-advanced-v2-fix
This model is a fine-tuned version of
ProsusAI/finbert
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2322
Accuracy: 0.86
F1: 0.8602
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: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
F1
0.1136
1.0
733
0.2425
0.792
0.7929
0.062
2.0
1466
0.2756
0.818
0.8189
0.0256
3.0
2199
0.3002
0.834
0.8343
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
