| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: ctrlv-wav2vec2-tokenizer |
| 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. --> |
|
|
| # ctrlv-wav2vec2-tokenizer |
|
|
| 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: 0.3967 |
| - Wer: 0.3138 |
|
|
| ## 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: 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: 1000 |
| - num_epochs: 30 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 3.4359 | 3.45 | 500 | 1.3595 | 0.9159 | |
| | 0.5692 | 6.9 | 1000 | 0.4332 | 0.4036 | |
| | 0.2198 | 10.34 | 1500 | 0.4074 | 0.3678 | |
| | 0.1314 | 13.79 | 2000 | 0.3480 | 0.3409 | |
| | 0.0929 | 17.24 | 2500 | 0.3714 | 0.3346 | |
| | 0.0692 | 20.69 | 3000 | 0.3977 | 0.3224 | |
| | 0.0542 | 24.14 | 3500 | 0.4068 | 0.3187 | |
| | 0.0422 | 27.59 | 4000 | 0.3967 | 0.3138 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.11.3 |
| - Pytorch 1.10.0+cu111 |
| - Datasets 1.18.3 |
| - Tokenizers 0.10.3 |
| |
