roberta_twitterfin_padding10model – AI Model by Realgon | AlphaNeural AI

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Realgon/
roberta_twitterfin_padding10model

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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roberta_twitterfin_padding10model

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

Loss: 0.8970
Accuracy: 0.9070

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: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5094	1.0	597	0.2783	0.8970
0.2823	2.0	1194	0.2594	0.8991
0.2439	3.0	1791	0.3844	0.9049
0.1695	4.0	2388	0.5063	0.8945
0.1503	5.0	2985	0.5064	0.9020
0.0789	6.0	3582	0.6158	0.9041
0.0672	7.0	4179	0.6271	0.9024
0.0483	8.0	4776	0.7233	0.8957
0.0505	9.0	5373	0.7133	0.9020
0.0357	10.0	5970	0.7987	0.8961
0.0236	11.0	6567	0.7371	0.9054
0.0275	12.0	7164	0.7701	0.9016
0.0189	13.0	7761	0.8193	0.9016
0.0228	14.0	8358	0.8336	0.9012
0.0181	15.0	8955	0.8378	0.9054
0.0073	16.0	9552	0.8451	0.9037
0.0073	17.0	10149	0.9188	0.8991
0.0062	18.0	10746	0.8898	0.9049
0.0049	19.0	11343	0.9068	0.9028
0.0045	20.0	11940	0.8970	0.9070

Framework versions

Transformers 4.32.1
Pytorch 2.1.1
Datasets 2.12.0
Tokenizers 0.13.3