|
--- |
|
license: mit |
|
base_model: dbmdz/bert-base-turkish-cased |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: bert-duygua15 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# bert-duygua15 |
|
|
|
This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3342 |
|
- Accuracy: 0.9433 |
|
|
|
## 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 | 75 | 0.1786 | 0.9383 | |
|
| No log | 2.0 | 150 | 0.1796 | 0.945 | |
|
| No log | 3.0 | 225 | 0.2770 | 0.9233 | |
|
| No log | 4.0 | 300 | 0.2481 | 0.9383 | |
|
| No log | 5.0 | 375 | 0.2703 | 0.9408 | |
|
| No log | 6.0 | 450 | 0.2989 | 0.94 | |
|
| 0.0994 | 7.0 | 525 | 0.3262 | 0.9433 | |
|
| 0.0994 | 8.0 | 600 | 0.3299 | 0.9408 | |
|
| 0.0994 | 9.0 | 675 | 0.3213 | 0.9442 | |
|
| 0.0994 | 10.0 | 750 | 0.3342 | 0.9433 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.2 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
