| --- |
| base_model: ylacombe/w2v-bert-2.0-600m-turkish-colab |
| tags: |
| - generated_from_trainer |
| datasets: |
| - common_voice_16_0 |
| metrics: |
| - wer |
| model-index: |
| - name: mactest2 |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: common_voice_16_0 |
| type: common_voice_16_0 |
| config: tr |
| split: test |
| args: tr |
| metrics: |
| - name: Wer |
| type: wer |
| value: 0.3088954056695992 |
| --- |
| |
| <!-- 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. --> |
|
|
| # mactest2 |
|
|
| This model is a fine-tuned version of [ylacombe/w2v-bert-2.0-600m-turkish-colab](https://huggingface.co/ylacombe/w2v-bert-2.0-600m-turkish-colab) on the common_voice_16_0 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5663 |
| - Wer: 0.3089 |
| |
| ## 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: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 16 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 150 |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 0.305 | 1.6 | 100 | 0.4562 | 0.2952 | |
| | 0.0505 | 3.2 | 200 | 0.4923 | 0.3284 | |
| | 0.0298 | 4.8 | 300 | 0.4925 | 0.3157 | |
| | 0.0156 | 6.4 | 400 | 0.5194 | 0.3069 | |
| | 0.0058 | 8.0 | 500 | 0.5420 | 0.3050 | |
| | 0.004 | 9.6 | 600 | 0.5663 | 0.3089 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.37.0.dev0 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.0 |
| |
