Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilbert-base-uncased-finetuned-emotion – AI Model by magenta930 | AlphaNeural AI
You can deploy this model and start earning money today!
magenta930
/
distilbert-base-uncased-finetuned-emotion
like
0
tensorboard
safetensors
distilbert
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
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 an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3871
Accuracy: 0.8875
F1: 0.8826
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: 128
eval_batch_size: 128
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
No log
1.0
125
0.5985
0.8035
0.7699
No log
2.0
250
0.3871
0.8875
0.8826
Framework versions
Transformers 4.43.3
Pytorch 2.4.1+cu118
Datasets 2.20.0
Tokenizers 0.19.1
