metadata
license: apache-2.0
tags:
- text-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: insights
results: []
insights
This model is a fine-tuned version of bert-base-multilingual-uncased on the custom dataset. It achieves the following results on the evaluation set:
- Loss: 0.7686
- Accuracy: 0.8257
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: 16
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 63 | 0.8631 | 0.7523 |
| No log | 2.0 | 126 | 0.7686 | 0.8257 |
| No log | 3.0 | 189 | 1.2180 | 0.7431 |
| No log | 4.0 | 252 | 1.1273 | 0.7982 |
| No log | 5.0 | 315 | 1.2937 | 0.7706 |
| No log | 6.0 | 378 | 1.3242 | 0.7890 |
| No log | 7.0 | 441 | 1.3387 | 0.7982 |
| 0.0916 | 8.0 | 504 | 1.2943 | 0.7706 |
| 0.0916 | 9.0 | 567 | 1.3299 | 0.7982 |
| 0.0916 | 10.0 | 630 | 1.3237 | 0.7982 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2