You can deploy this model and start earning money today!

minoosh/
finetuned_roberta-base-on-IEMOCAP_3

Name: finetuned_roberta-base-on-IEMOCAP_3
Availability: InStock

generated_from_trainer

cardiffnlp/twitter-roberta-base-emotion

finetune

autotrain_compatible

endpoints_compatible

Views

No views yet

finetuned_roberta-base-on-IEMOCAP_3

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: 1.0811
Accuracy: 0.6481

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
0.8961	1.0	110	0.8901	0.6435
0.7964	2.0	220	0.8135	0.6731
0.6132	3.0	330	0.8108	0.6993
0.3977	4.0	440	0.8360	0.7198
0.308	5.0	550	0.8994	0.6982
0.264	6.0	660	1.0231	0.6970
0.2477	7.0	770	1.0716	0.6993
0.1822	8.0	880	1.0890	0.6970
0.1438	9.0	990	1.1732	0.7039
0.1445	10.0	1100	1.2182	0.6902
0.1143	11.0	1210	1.2504	0.6993
0.1266	12.0	1320	1.3046	0.6970
0.094	13.0	1430	1.3148	0.7130
0.0985	14.0	1540	1.3253	0.7175
0.0947	15.0	1650	1.3411	0.7118

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_3

finetuned_roberta-base-on-IEMOCAP_3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

minoosh/
finetuned_roberta-base-on-IEMOCAP_3