File size: 1,938 Bytes
269aef1 8949a56 269aef1 8949a56 0e2a1ad 269aef1 0e2a1ad 269aef1 0e2a1ad 269aef1 8949a56 269aef1 8949a56 269aef1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 |
---
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
|