hbertv1-emotion-intermediate_KD_new
This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new_48 on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 1.5135
- Accuracy: 0.8875
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 33
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.5702 | 1.0 | 250 | 2.3579 | 0.7245 |
| 2.149 | 2.0 | 500 | 1.8353 | 0.8445 |
| 1.8068 | 3.0 | 750 | 1.6314 | 0.868 |
| 1.639 | 4.0 | 1000 | 1.5135 | 0.8875 |
| 1.5325 | 5.0 | 1250 | 1.4804 | 0.87 |
| 1.4672 | 6.0 | 1500 | 1.5219 | 0.869 |
| 1.3918 | 7.0 | 1750 | 1.4353 | 0.877 |
| 1.4349 | 8.0 | 2000 | 1.4497 | 0.8845 |
| 1.3062 | 9.0 | 2250 | 1.4030 | 0.8855 |
Framework versions
- Transformers 4.35.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.15.0
- Tokenizers 0.15.0
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