| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: test1000v2 |
| | 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. --> |
| |
|
| | # test1000v2 |
| |
|
| | This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.7873 |
| | - Wer: 0.6162 |
| |
|
| | ## 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: 0.001 |
| | - 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: 20 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | | 7.7913 | 3.22 | 100 | 3.3481 | 1.0 | |
| | | 3.3831 | 6.44 | 200 | 3.3229 | 1.0 | |
| | | 3.3778 | 9.67 | 300 | 3.3211 | 1.0 | |
| | | 3.3671 | 12.89 | 400 | 3.2973 | 1.0 | |
| | | 3.3528 | 16.13 | 500 | 3.1349 | 1.0 | |
| | | 1.8611 | 19.35 | 600 | 0.7873 | 0.6162 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.22.2 |
| | - Pytorch 1.10.0+cu102 |
| | - Datasets 1.4.1 |
| | - Tokenizers 0.12.1 |
| |
|
