roberta_twitterfin_padding30model – AI Model by Realgon | AlphaNeural AI

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Realgon/
roberta_twitterfin_padding30model

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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roberta_twitterfin_padding30model

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

Loss: 0.8837
Accuracy: 0.9028

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
0.5436	1.0	597	0.3085	0.8882
0.3068	2.0	1194	0.2728	0.8966
0.2493	3.0	1791	0.3792	0.8790
0.1773	4.0	2388	0.4012	0.8903
0.161	5.0	2985	0.5754	0.8857
0.0881	6.0	3582	0.5561	0.8970
0.0692	7.0	4179	0.6362	0.9020
0.0562	8.0	4776	0.7064	0.8865
0.0531	9.0	5373	0.8704	0.8794
0.0393	10.0	5970	0.7548	0.9020
0.0246	11.0	6567	0.8874	0.8798
0.0323	12.0	7164	0.7815	0.8974
0.0245	13.0	7761	0.8276	0.9058
0.0279	14.0	8358	0.7921	0.9083
0.0194	15.0	8955	0.8531	0.8999
0.0125	16.0	9552	0.8517	0.9024
0.0117	17.0	10149	0.8547	0.8991
0.0057	18.0	10746	0.8639	0.9028
0.0082	19.0	11343	0.8794	0.9028
0.0068	20.0	11940	0.8837	0.9028

Framework versions

Transformers 4.32.1
Pytorch 2.1.1
Datasets 2.12.0
Tokenizers 0.13.3