emotion_funnel-transformer
This model is a fine-tuned version of funnel-transformer/small on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.2210
- Accuracy: 0.918
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 250 | 0.4164 | 0.863 |
| 0.6384 | 2.0 | 500 | 0.2493 | 0.911 |
| 0.6384 | 3.0 | 750 | 0.2227 | 0.9225 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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Model tree for omerfguzel/emotion_funnel-transformer
Base model
funnel-transformer/small