distilbert-base-uncased-finetuned-emotions – AI Model by Hashiru11 | AlphaNeural AI

You can deploy this model and start earning money today!

Hashiru11/
distilbert-base-uncased-finetuned-emotions

like

0

text-classification

generated_from_trainer

dair-ai/emotion

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

Views

No views yet

distilbert-base-uncased-finetuned-emotions

This model is a fine-tuned version of distilbert-base-uncased on dair-ai/emotion dataset. It achieves the following results on the evaluation set:

Loss: 0.1970
Accuracy: 0.9425
F1: 0.9426

Model description

distilbert-base-uncased base model finetuned on dair-ai/emotion dataset.

Intended uses

Can be used to classify emotions, sentiment analysis

Labels Mapping

0: Sadness 😢

1: Joy 😊

2: Love ❤️

3: Anger 😠

4: Fear 😨

5: Surprise 😲

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.0567	1.0	250	0.2055	0.9345	0.9348
0.0559	2.0	500	0.2037	0.9355	0.9358
0.067	3.0	750	0.1970	0.9425	0.9426

Framework versions

Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0