Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilbert-base-uncased-finetuned-emotion – AI Model by worklai33 | AlphaNeural AI
You can deploy this model and start earning money today!
worklai33
/
distilbert-base-uncased-finetuned-emotion
like
0
transformers
pytorch
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.9884
Accuracy: 0.355
F1: 0.1860
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
2.0635
1.0
4
2.0118
0.355
0.1867
2.0122
2.0
8
1.9884
0.355
0.1860
Framework versions
Transformers 4.34.0
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.14.0
