metadata
license: mit
base_model: dbmdz/bert-base-turkish-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: emotion-turkish19
results: []
emotion-turkish19
This model is a fine-tuned version of dbmdz/bert-base-turkish-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4518
- Accuracy: 0.9333
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: 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 | 71 | 0.2237 | 0.9333 |
| No log | 2.0 | 142 | 0.2419 | 0.9333 |
| No log | 3.0 | 213 | 0.3137 | 0.9238 |
| No log | 4.0 | 284 | 0.3441 | 0.9143 |
| No log | 5.0 | 355 | 0.3309 | 0.9524 |
| No log | 6.0 | 426 | 0.3131 | 0.9524 |
| No log | 7.0 | 497 | 0.3892 | 0.9333 |
| 0.1143 | 8.0 | 568 | 0.4482 | 0.9238 |
| 0.1143 | 9.0 | 639 | 0.4669 | 0.9238 |
| 0.1143 | 10.0 | 710 | 0.4518 | 0.9333 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1