emotion
This model is a fine-tuned version of bhadresh-savani/distilbert-base-uncased-emotion on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3369
- Accuracy: 0.5333
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: 1.9751278154829286e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 8 | 1.3971 | 0.4 |
| 1.3064 | 2.0 | 16 | 1.3286 | 0.5333 |
| 1.153 | 3.0 | 24 | 1.3240 | 0.5333 |
| 0.9528 | 4.0 | 32 | 1.3369 | 0.5333 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1
- Datasets 2.14.1
- Tokenizers 0.13.3
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