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# wav2vec2-xls-r-300m_phone-mfa_czech

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5786
- Per: 0.9976
- Learning Rate: 0.0

## 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_ratio: 0.2
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Per    | Rate   |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 31.4921       | 0.99  | 46   | 21.6441         | 0.9566 | 0.0000 |
| 16.0837       | 2.0   | 93   | 10.7050         | 0.9566 | 0.0001 |
| 9.2971        | 2.99  | 139  | 6.7301          | 0.9566 | 0.0001 |
| 5.6236        | 4.0   | 186  | 4.7820          | 0.9566 | 0.0001 |
| 4.7349        | 4.99  | 232  | 4.5726          | 0.9566 | 0.0001 |
| 4.5398        | 6.0   | 279  | 4.5470          | 0.9566 | 0.0001 |
| 4.623         | 6.99  | 325  | 4.5311          | 0.9566 | 0.0001 |
| 4.5004        | 8.0   | 372  | 4.4399          | 0.9566 | 0.0001 |
| 4.4232        | 8.99  | 418  | 4.1843          | 0.9431 | 0.0001 |
| 4.0771        | 10.0  | 465  | 3.9877          | 0.9584 | 0.0001 |
| 3.9777        | 10.99 | 511  | 3.8730          | 0.9633 | 0.0001 |
| 3.7965        | 12.0  | 558  | 3.7890          | 0.9664 | 0.0000 |
| 3.8077        | 12.99 | 604  | 3.7559          | 0.9859 | 0.0000 |
| 3.6752        | 14.0  | 651  | 3.7421          | 0.9670 | 0.0000 |
| 3.7137        | 14.99 | 697  | 3.6698          | 0.9621 | 0.0000 |
| 3.5931        | 16.0  | 744  | 3.6419          | 0.9841 | 0.0000 |
| 3.6389        | 16.99 | 790  | 3.6219          | 0.9804 | 0.0000 |
| 3.5264        | 18.0  | 837  | 3.5899          | 0.9841 | 0.0000 |
| 3.5817        | 18.99 | 883  | 3.5830          | 1.0043 | 0.0000 |
| 3.4751        | 19.78 | 920  | 3.5786          | 0.9976 | 0.0    |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cpu
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "wav2vec2-xls-r-300m_phone-mfa_czech", "results": []}]}
transformers safetensors wav2vec2 automatic-speech-recognition generated_from_trainer base_model:facebook/wav2vec2-xls-r-300m license:apache-2.0 endpoints_compatible region:us