finbert-custom-sentiment – AI Model by YG0713 | AlphaNeural AI

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YG0713/
finbert-custom-sentiment

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text-classification

generated_from_trainer

ProsusAI/finbert

autotrain_compatible

endpoints_compatible

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finbert-custom-sentiment

This model is a fine-tuned version of ProsusAI/finbert on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1984
Accuracy: 0.9370
Precision Macro: 0.9373
Recall Macro: 0.9345
F1 Macro: 0.9357
Precision Weighted: 0.9372
Recall Weighted: 0.9370
F1 Weighted: 0.9369

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: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision Macro	Recall Macro	F1 Macro	Precision Weighted	Recall Weighted	F1 Weighted
0.2343	1.0	64	0.2211	0.9252	0.9235	0.9248	0.9239	0.9255	0.9252	0.9251
0.1129	2.0	128	0.2009	0.9350	0.9340	0.9330	0.9334	0.9349	0.9350	0.9349
0.1176	3.0	192	0.1984	0.9370	0.9373	0.9345	0.9357	0.9372	0.9370	0.9369

Framework versions

Transformers 4.54.0
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2