| --- |
| language: |
| - tr |
| license: cc-by-nc-4.0 |
| tags: |
| - automatic-speech-recognition |
| - common_voice |
| - generated_from_trainer |
| - mms |
| datasets: |
| - common_voice |
| metrics: |
| - wer |
| model-index: |
| - name: wav2vec2-common_voice-tr-mms-demo-3 |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: COMMON_VOICE - TR |
| type: common_voice |
| config: tr |
| split: test |
| args: 'Config: tr, Training split: train+validation, Eval split: test' |
| metrics: |
| - name: Wer |
| type: wer |
| value: 0.2267388417934838 |
| --- |
| |
| <!-- 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. --> |
|
|
| # wav2vec2-common_voice-tr-mms-demo |
| |
| This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the COMMON_VOICE - TR dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1532 |
| - Wer: 0.2267 |
|
|
| ## 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: 0.001 |
| - train_batch_size: 32 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 100 |
| - num_epochs: 4.0 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | No log | 0.92 | 100 | 0.1822 | 0.2605 | |
| | No log | 1.83 | 200 | 0.1620 | 0.2389 | |
| | No log | 2.75 | 300 | 0.1581 | 0.2318 | |
| | No log | 3.67 | 400 | 0.1535 | 0.2270 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.31.0.dev0 |
| - Pytorch 2.0.1+cu117 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
