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minoosh/
finetuned_roberta-base-on-IEMOCAP_4

Name: finetuned_roberta-base-on-IEMOCAP_4
Availability: InStock

generated_from_trainer

cardiffnlp/twitter-roberta-base-emotion

finetune

autotrain_compatible

endpoints_compatible

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finetuned_roberta-base-on-IEMOCAP_4

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

Loss: 1.5143
Accuracy: 0.6867

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8876	1.0	113	0.9530	0.6341
0.7153	2.0	226	0.8473	0.6807
0.5127	3.0	339	0.8841	0.6907
0.3844	4.0	452	0.9751	0.7062
0.3104	5.0	565	0.9363	0.7029
0.2374	6.0	678	1.1047	0.6896
0.2128	7.0	791	1.1239	0.7040
0.2104	8.0	904	1.1717	0.7129
0.1896	9.0	1017	1.1580	0.6973
0.1211	10.0	1130	1.2320	0.7029
0.1737	11.0	1243	1.3389	0.6973
0.1022	12.0	1356	1.3537	0.7062
0.0934	13.0	1469	1.3742	0.7140
0.0987	14.0	1582	1.4039	0.7151
0.1065	15.0	1695	1.4150	0.7173

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1

minoosh/finetuned_roberta-base-on-IEMOCAP_4

finetuned_roberta-base-on-IEMOCAP_4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

minoosh/
finetuned_roberta-base-on-IEMOCAP_4