roberta_twitterfin_padding20model – AI Model by Realgon | AlphaNeural AI

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Realgon/
roberta_twitterfin_padding20model

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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roberta_twitterfin_padding20model

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

Loss: 0.8844
Accuracy: 0.9066

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
0.5163	1.0	597	0.2826	0.8966
0.2895	2.0	1194	0.2524	0.9033
0.2395	3.0	1791	0.4289	0.8953
0.1806	4.0	2388	0.4055	0.9016
0.1585	5.0	2985	0.5081	0.8924
0.0872	6.0	3582	0.5860	0.9008
0.0754	7.0	4179	0.5438	0.9037
0.0556	8.0	4776	0.6639	0.9058
0.0587	9.0	5373	0.7793	0.8886
0.0556	10.0	5970	0.6942	0.9049
0.0315	11.0	6567	0.7435	0.9028
0.0224	12.0	7164	0.8157	0.8978
0.0299	13.0	7761	0.7758	0.9062
0.0186	14.0	8358	0.8350	0.8995
0.0127	15.0	8955	0.8055	0.9075
0.0084	16.0	9552	0.8329	0.9075
0.0075	17.0	10149	0.8021	0.9083
0.0079	18.0	10746	0.8627	0.9058
0.0055	19.0	11343	0.8834	0.9062
0.0046	20.0	11940	0.8844	0.9066

Framework versions

Transformers 4.32.1
Pytorch 2.1.1
Datasets 2.12.0
Tokenizers 0.13.3