Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
finetuning-emotion-model – AI Model by SurajMahapatra | AlphaNeural AI
You can deploy this model and start earning money today!
SurajMahapatra
/
finetuning-emotion-model
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
finetuning-emotion-model
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: 0.1691
Accuracy: 0.94
F1: 0.9401
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
No log
1.0
250
0.1664
0.939
0.9391
0.0563
2.0
500
0.1691
0.94
0.9401
Framework versions
Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
