| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: daniel_asr |
| | 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. --> |
| |
|
| | # daniel_asr |
| | |
| | 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: 0.4565 |
| | - Wer: 0.3423 |
| | |
| | ## 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | | 3.4909 | 4.0 | 500 | 1.3485 | 0.8887 | |
| | | 0.5887 | 8.0 | 1000 | 0.4957 | 0.4641 | |
| | | 0.2207 | 12.0 | 1500 | 0.4621 | 0.3971 | |
| | | 0.125 | 16.0 | 2000 | 0.4339 | 0.3756 | |
| | | 0.0829 | 20.0 | 2500 | 0.4618 | 0.3613 | |
| | | 0.0601 | 24.0 | 3000 | 0.4564 | 0.3535 | |
| | | 0.0456 | 28.0 | 3500 | 0.4565 | 0.3423 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.11.3 |
| | - Pytorch 1.10.0+cu111 |
| | - Datasets 1.13.3 |
| | - Tokenizers 0.10.3 |
| |
|
