Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilbert-base-uncased-finetuned-emotion-transformersbook – AI Model by hcyying | AlphaNeural AI
You can deploy this model and start earning money today!
hcyying
/
distilbert-base-uncased-finetuned-emotion-transformersbook
like
0
transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
emotion
distilbert/distilbert-base-uncased
finetune
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-transformersbook
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: 0.1509
Accuracy: 0.9375
F1: 0.9373
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.4809
1.0
1000
0.1883
0.928
0.9285
0.1476
2.0
2000
0.1509
0.9375
0.9373
Framework versions
Transformers 4.36.2
Pytorch 2.1.2+cu118
Datasets 2.16.1
Tokenizers 0.15.0
