N_roberta_twitterfin_padding0model – AI Model by Realgon | AlphaNeural AI | AlphaNeural AI

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Realgon/
N_roberta_twitterfin_padding0model

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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N_roberta_twitterfin_padding0model

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

Loss: 0.8899
Accuracy: 0.9054

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
0.5034	1.0	597	0.3089	0.8861
0.2809	2.0	1194	0.2518	0.9062
0.2265	3.0	1791	0.3194	0.8995
0.1758	4.0	2388	0.5205	0.8987
0.1577	5.0	2985	0.5400	0.8932
0.0711	6.0	3582	0.6033	0.8991
0.0708	7.0	4179	0.6740	0.8970
0.0566	8.0	4776	0.6367	0.8987
0.0541	9.0	5373	0.8236	0.8857
0.0393	10.0	5970	0.7245	0.8974
0.028	11.0	6567	0.7695	0.8999
0.032	12.0	7164	0.7127	0.9037
0.0234	13.0	7761	0.8016	0.8961
0.016	14.0	8358	0.8060	0.9083
0.0109	15.0	8955	0.8555	0.8987
0.0119	16.0	9552	0.8472	0.9049
0.0075	17.0	10149	0.8454	0.9062
0.0038	18.0	10746	0.8613	0.9079
0.0069	19.0	11343	0.8795	0.9075
0.0072	20.0	11940	0.8899	0.9054

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3