distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of distilbert-base-uncased on the emotions dataset. It achieves the following results on the evaluation set:
- Loss: 0.2170
- Accuracy: 0.926
- F1: 0.9261
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
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 |
|---|---|---|---|---|---|
| 0.8047 | 1.0 | 250 | 0.3131 | 0.908 | 0.9073 |
| 0.2397 | 2.0 | 500 | 0.2170 | 0.926 | 0.9261 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 326
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for 2O24dpower2024/distilbert-base-uncased-finetuned-emotion
Base model
distilbert/distilbert-base-uncased