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finbert-japan-v1-lr2e5 – AI Model by dgawghbuidw | AlphaNeural AI
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finbert-japan-v1-lr2e5
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transformers
safetensors
bert
text-classification
generated_from_trainer
ProsusAI/finbert
finetune
text-embeddings-inference
endpoints_compatible
us
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finbert-japan-v1-lr2e5
This model is a fine-tuned version of
ProsusAI/finbert
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4328
Accuracy: 0.86
F1: 0.8594
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.2576
1.0
733
0.4807
0.814
0.8136
0.1296
2.0
1466
0.4410
0.846
0.8458
0.0678
3.0
2199
0.5190
0.842
0.8419
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
