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minoosh/
finetuned_roberta-base-on-IEMOCAP_2

Name: finetuned_roberta-base-on-IEMOCAP_2
Availability: InStock

generated_from_trainer

cardiffnlp/twitter-roberta-base-emotion

finetune

autotrain_compatible

endpoints_compatible

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finetuned_roberta-base-on-IEMOCAP_2

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: 0.8093
Accuracy: 0.7283

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
0.9868	1.0	113	0.9133	0.6493
0.7065	2.0	226	0.8576	0.6803
0.4773	3.0	339	0.8821	0.6947
0.4002	4.0	452	0.9283	0.7024
0.3338	5.0	565	1.0637	0.6792
0.3128	6.0	678	1.0653	0.6892
0.2552	7.0	791	1.1852	0.6814
0.244	8.0	904	1.2298	0.6825
0.2178	9.0	1017	1.2453	0.6925
0.2083	10.0	1130	1.3690	0.6858
0.1516	11.0	1243	1.3877	0.6914
0.1186	12.0	1356	1.4572	0.6903
0.1681	13.0	1469	1.4289	0.6925
0.1175	14.0	1582	1.4813	0.6869
0.1068	15.0	1695	1.4878	0.6869

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_2

finetuned_roberta-base-on-IEMOCAP_2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

minoosh/
finetuned_roberta-base-on-IEMOCAP_2