| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: wav2vec2-base_toy_train_data |
| 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. --> |
|
|
| # wav2vec2-base_toy_train_data |
| |
| This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.2522 |
| - Wer: 0.7297 |
| |
| ## 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: 0.0001 |
| - 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: 1000 |
| - num_epochs: 30 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 3.0033 | 4.2 | 500 | 2.7702 | 1.0 | |
| | 1.055 | 8.4 | 1000 | 1.2671 | 0.8667 | |
| | 0.6628 | 12.6 | 1500 | 1.1952 | 0.7883 | |
| | 0.5023 | 16.8 | 2000 | 1.1435 | 0.7659 | |
| | 0.4535 | 21.01 | 2500 | 1.1889 | 0.7458 | |
| | 0.3604 | 25.21 | 3000 | 1.2650 | 0.7378 | |
| | 0.3175 | 29.41 | 3500 | 1.2522 | 0.7297 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.18.0 |
| - Pytorch 1.11.0+cu102 |
| - Datasets 2.1.0 |
| - Tokenizers 0.12.1 |
| |
