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category-finbert – AI Model by simpliTax | AlphaNeural AI
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category-finbert
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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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category-finbert
This model is a fine-tuned version of
ProsusAI/finbert
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.2288
Accuracy: 0.5391
Macro F1: 0.1796
Weighted F1: 0.4589
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: 13
optimizer: Use 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
Macro F1
Weighted F1
4.2041
1.0
836
2.9954
0.4063
0.0880
0.2977
2.6344
2.0
1672
2.4037
0.5040
0.1556
0.4178
2.1611
3.0
2508
2.2288
0.5391
0.1796
0.4589
Framework versions
Transformers 5.0.0.dev0
Pytorch 2.9.0+cu126
Datasets 4.3.0
Tokenizers 0.22.1
