finbert_Synonym-wordnet – AI Model by avinasht | AlphaNeural AI

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avinasht/
finbert_Synonym-wordnet

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text-classification

generated_from_trainer

ProsusAI/finbert

autotrain_compatible

endpoints_compatible

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finbert_Synonym-wordnet

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

Loss: 0.2734
Accuracy: 0.9236
F1: 0.9232
Precision: 0.9236
Recall: 0.9236

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: 0.0001
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 25

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.7941	1.0	91	0.7038	0.7051	0.6964	0.7046	0.7051
0.3785	2.0	182	0.2841	0.8939	0.8940	0.8942	0.8939
0.213	3.0	273	0.2432	0.9080	0.9082	0.9106	0.9080
0.1268	4.0	364	0.3080	0.8924	0.8927	0.8956	0.8924
0.0851	5.0	455	0.2941	0.9173	0.9166	0.9183	0.9173
0.0797	6.0	546	0.2734	0.9236	0.9232	0.9236	0.9236
0.0651	7.0	637	0.3518	0.8970	0.8975	0.9029	0.8970
0.0779	8.0	728	0.4189	0.8939	0.8942	0.9016	0.8939
0.0923	9.0	819	0.3289	0.9126	0.9131	0.9152	0.9126
0.087	10.0	910	0.3797	0.9048	0.9047	0.9075	0.9048
0.0527	11.0	1001	0.3492	0.9048	0.9050	0.9058	0.9048

Framework versions

Transformers 4.37.0
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1