Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
ko-sroberta-multitask-finetuned-emotion – AI Model by parksanha | AlphaNeural AI
You can deploy this model and start earning money today!
parksanha
/
ko-sroberta-multitask-finetuned-emotion
like
0
transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
emotion
jhgan/ko-sroberta-multitask
finetune
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
ko-sroberta-multitask-finetuned-emotion
This model is a fine-tuned version of
jhgan/ko-sroberta-multitask
on the emotion dataset. It achieves the following results on the evaluation set:
Loss: 0.2960
Accuracy: 0.907
F1: 0.9068
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
1.0684
1.0
250
0.5018
0.8465
0.8458
0.4203
2.0
500
0.2960
0.907
0.9068
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
