N_roberta_twitterfin_padding40model – AI Model by Realgon | AlphaNeural AI

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Realgon/
N_roberta_twitterfin_padding40model

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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N_roberta_twitterfin_padding40model

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

Loss: 0.9571
Accuracy: 0.8974

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
0.5554	1.0	597	0.3032	0.8827
0.3133	2.0	1194	0.3023	0.8911
0.261	3.0	1791	0.3403	0.8907
0.1963	4.0	2388	0.4799	0.8957
0.1727	5.0	2985	0.5715	0.8748
0.0908	6.0	3582	0.5633	0.8966
0.0752	7.0	4179	0.6497	0.8941
0.0678	8.0	4776	0.6841	0.8924
0.0555	9.0	5373	0.7781	0.8966
0.0382	10.0	5970	0.7813	0.8957
0.0328	11.0	6567	0.8010	0.8936
0.0352	12.0	7164	0.8996	0.8840
0.0216	13.0	7761	0.7969	0.9003
0.0307	14.0	8358	0.8811	0.9024
0.0139	15.0	8955	0.8734	0.8970
0.0145	16.0	9552	0.9172	0.8987
0.0124	17.0	10149	0.9085	0.8991
0.0074	18.0	10746	0.9075	0.8995
0.0082	19.0	11343	0.9560	0.8957
0.0043	20.0	11940	0.9571	0.8974

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3