finbert-finetuned-FG-SINGLE_SENTENCE-NEWS-WEIGHTED – AI Model by lucaordronneau | AlphaNeural AI

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lucaordronneau/
finbert-finetuned-FG-SINGLE_SENTENCE-NEWS-WEIGHTED

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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finbert-finetuned-FG-SINGLE_SENTENCE-NEWS-WEIGHTED

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

Loss: 2.2741
Accuracy: 0.7475
F1: 0.7253

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: 6e-05
train_batch_size: 48
eval_batch_size: 48
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 16

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	249	0.9150	0.7346	0.6484
No log	2.0	498	0.8837	0.6210	0.6317
1.033	3.0	747	0.8460	0.6485	0.6666
1.033	4.0	996	1.0089	0.6831	0.6909
0.5642	5.0	1245	1.2507	0.7352	0.7152
0.5642	6.0	1494	1.3241	0.7129	0.7042
0.2078	7.0	1743	1.5163	0.7528	0.7230
0.2078	8.0	1992	1.5818	0.7352	0.7236
0.1108	9.0	2241	1.7930	0.7012	0.7046
0.1108	10.0	2490	1.8262	0.7305	0.7211
0.07	11.0	2739	2.0415	0.7440	0.7192
0.07	12.0	2988	2.1260	0.7563	0.7230
0.0392	13.0	3237	2.1502	0.7528	0.7323
0.0392	14.0	3486	2.2117	0.7516	0.7270
0.0174	15.0	3735	2.2657	0.7405	0.7236
0.0174	16.0	3984	2.2741	0.7475	0.7253

Framework versions

Transformers 4.16.2
Pytorch 1.9.1
Datasets 1.18.4
Tokenizers 0.11.6