Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
distilbert-base-uncased-finetuned-emotion – AI Model by Aron | AlphaNeural AI
You can deploy this model and start earning money today!
Aron
/
distilbert-base-uncased-finetuned-emotion
like
0
transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
emotion
apache-2.0
model-index
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 emotion dataset. It achieves the following results on the evaluation set:
Loss: 0.2295
Accuracy: 0.92
F1: 0.9202
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
0.8187
1.0
250
0.3137
0.902
0.8983
0.2514
2.0
500
0.2295
0.92
0.9202
Framework versions
Transformers 4.11.3
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3
