metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: distilbert-base-multilingual-cased
model-index:
- name: distilbert-base-cased-distilled-emotion-bg
results: []
distilbert-base-cased-distilled-emotion-bg
This model is a fine-tuned version of distilbert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5784
- Accuracy: 0.8061
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: 3e-05
- train_batch_size: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3346 | 1.0 | 187 | 1.0077 | 0.6036 |
| 0.763 | 2.0 | 374 | 0.6359 | 0.7868 |
| 0.4931 | 3.0 | 561 | 0.5821 | 0.8008 |
| 0.3635 | 4.0 | 748 | 0.5784 | 0.8061 |
| 0.2724 | 5.0 | 935 | 0.5829 | 0.8189 |
| 0.2116 | 6.0 | 1122 | 0.5872 | 0.8168 |
| 0.1684 | 7.0 | 1309 | 0.6480 | 0.8148 |
| 0.1336 | 8.0 | 1496 | 0.6630 | 0.8122 |
| 0.112 | 9.0 | 1683 | 0.6836 | 0.8222 |
| 0.0966 | 10.0 | 1870 | 0.6859 | 0.8202 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2