| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: dys_asr_rub |
| | 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. --> |
| |
|
| | # dys_asr_rub |
| |
|
| | This model is a fine-tuned version of [facebook/wav2vec2-large-960h-lv60-self](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0257 |
| | - Wer: 0.9875 |
| |
|
| | ## 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 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 1000 |
| | - num_epochs: 7 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | | 12.3902 | 0.79 | 500 | 4.0453 | 1.0 | |
| | | 1.8958 | 1.58 | 1000 | 0.4618 | 1.2804 | |
| | | 0.3581 | 2.37 | 1500 | 0.1455 | 1.0498 | |
| | | 0.1861 | 3.16 | 2000 | 0.1212 | 1.0156 | |
| | | 0.108 | 3.95 | 2500 | 0.0211 | 0.9969 | |
| | | 0.0719 | 4.74 | 3000 | 0.0574 | 0.9875 | |
| | | 0.0768 | 5.53 | 3500 | 0.0313 | 0.9907 | |
| | | 0.0547 | 6.32 | 4000 | 0.0257 | 0.9875 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.17.0 |
| | - Pytorch 1.13.1+cu116 |
| | - Datasets 1.18.3 |
| | - Tokenizers 0.13.2 |
| | |
