| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: wav2vec2-base_toy_train_data_random_low_pass |
| | 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_random_low_pass |
| |
|
| | 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: 1.3227 |
| | - Wer: 0.7288 |
| |
|
| | ## 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: 20 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | | 3.0795 | 2.1 | 500 | 3.2227 | 0.9982 | |
| | | 1.21 | 4.2 | 1000 | 1.3713 | 0.8879 | |
| | | 0.742 | 6.3 | 1500 | 1.2660 | 0.8296 | |
| | | 0.5877 | 8.4 | 2000 | 1.2921 | 0.7794 | |
| | | 0.4823 | 10.5 | 2500 | 1.2899 | 0.7565 | |
| | | 0.4036 | 12.6 | 3000 | 1.3486 | 0.7494 | |
| | | 0.391 | 14.7 | 3500 | 1.2701 | 0.7466 | |
| | | 0.3426 | 16.81 | 4000 | 1.3570 | 0.7279 | |
| | | 0.3015 | 18.91 | 4500 | 1.3227 | 0.7288 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.17.0 |
| | - Pytorch 1.11.0+cu102 |
| | - Datasets 2.0.0 |
| | - Tokenizers 0.11.6 |
| |
|
