| --- |
| license: apache-2.0 |
| base_model: facebook/wav2vec2-lv-60-espeak-cv-ft |
| tags: |
| - generated_from_trainer |
| datasets: |
| - nb_samtale |
| metrics: |
| - wer |
| model-index: |
| - name: cs2no-wav2vec2-large-xls-r-300m-cs-colab-phoneme |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: nb_samtale |
| type: nb_samtale |
| config: annotations |
| split: test |
| args: annotations |
| metrics: |
| - name: Wer |
| type: wer |
| value: 0.7063259628056816 |
| --- |
| |
| <!-- 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. --> |
|
|
| # cs2no-wav2vec2-large-xls-r-300m-cs-colab-phoneme |
|
|
| This model is a fine-tuned version of [facebook/wav2vec2-lv-60-espeak-cv-ft](https://huggingface.co/facebook/wav2vec2-lv-60-espeak-cv-ft) on the nb_samtale dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 4.9174 |
| - Wer: 0.7063 |
| |
| ## 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: 1e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 32 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 50 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 3.82 | 16.67 | 100 | 5.2819 | 0.7336 | |
| | 2.8834 | 33.33 | 200 | 4.9424 | 0.7091 | |
| | 2.5387 | 50.0 | 300 | 4.9174 | 0.7063 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.35.2 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
| |
