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minoosh/
finetuned_roberta-base-on-IEMOCAP_1

Name: finetuned_roberta-base-on-IEMOCAP_1
Availability: InStock

generated_from_trainer

cardiffnlp/twitter-roberta-base-emotion

finetune

autotrain_compatible

endpoints_compatible

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finetuned_roberta-base-on-IEMOCAP_1

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: 1.4703
Accuracy: 0.6544

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
0.9508	1.0	112	0.8843	0.6525
0.7124	2.0	224	0.8126	0.6962
0.5481	3.0	336	0.8110	0.7175
0.4536	4.0	448	0.8892	0.7074
0.3289	5.0	560	0.9808	0.7085
0.2593	6.0	672	1.0769	0.7018
0.2304	7.0	784	1.0492	0.7220
0.1265	8.0	896	1.1246	0.7141
0.1482	9.0	1008	1.1653	0.7231
0.1523	10.0	1120	1.2254	0.7164
0.1337	11.0	1232	1.2533	0.7108
0.1167	12.0	1344	1.3048	0.7197
0.131	13.0	1456	1.3351	0.7152
0.1413	14.0	1568	1.3441	0.7175
0.1099	15.0	1680	1.3463	0.7164

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_1

finetuned_roberta-base-on-IEMOCAP_1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

minoosh/
finetuned_roberta-base-on-IEMOCAP_1