roberta_twitterfin_padding100model – AI Model by Realgon | AlphaNeural AI

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Realgon/
roberta_twitterfin_padding100model

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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roberta_twitterfin_padding100model

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

Loss: 0.8974
Accuracy: 0.9062

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
0.6161	1.0	597	0.3067	0.8836
0.3154	2.0	1194	0.2813	0.9003
0.2524	3.0	1791	0.4237	0.8903
0.191	4.0	2388	0.3915	0.8974
0.1607	5.0	2985	0.5921	0.8794
0.0813	6.0	3582	0.6027	0.8920
0.0867	7.0	4179	0.7093	0.8882
0.0601	8.0	4776	0.6902	0.8920
0.0578	9.0	5373	0.7902	0.8886
0.0565	10.0	5970	0.7581	0.9003
0.0322	11.0	6567	0.8172	0.8945
0.0189	12.0	7164	0.7463	0.8961
0.0283	13.0	7761	0.7960	0.9054
0.0219	14.0	8358	0.8057	0.9033
0.0168	15.0	8955	0.7975	0.9075
0.0103	16.0	9552	0.8289	0.9012
0.0074	17.0	10149	0.8471	0.9037
0.0083	18.0	10746	0.8944	0.9041
0.0061	19.0	11343	0.8967	0.9049
0.0019	20.0	11940	0.8974	0.9062

Framework versions

Transformers 4.32.1
Pytorch 2.1.1
Datasets 2.12.0
Tokenizers 0.13.3