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# whisper-medium-r22-e_v231109

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3784
- Wer: 100.0

## 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: 1e-05
- train_batch_size: 16
- 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: 5
- training_steps: 800
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 6.0027        | 0.06  | 10   | 3.8236          | 29.3631  |
| 2.668         | 0.12  | 20   | 1.8668          | 27.7539  |
| 1.5247        | 0.18  | 30   | 1.0451          | 25.8273  |
| 0.7177        | 0.24  | 40   | 0.3820          | 100.0    |
| 0.342         | 0.3   | 50   | 0.3398          | 100.0    |
| 0.331         | 0.36  | 60   | 0.3243          | 100.0340 |
| 0.3139        | 0.42  | 70   | 0.3175          | 100.0227 |
| 0.291         | 0.48  | 80   | 0.2983          | 100.0340 |
| 0.3178        | 0.54  | 90   | 0.2907          | 100.0340 |
| 0.2516        | 0.6   | 100  | 0.2933          | 100.0567 |
| 0.3004        | 0.66  | 110  | 0.2860          | 100.0907 |
| 0.2923        | 0.72  | 120  | 0.2962          | 100.1587 |
| 0.3067        | 0.78  | 130  | 0.2887          | 100.0340 |
| 0.2967        | 0.84  | 140  | 0.2802          | 100.0    |
| 0.3059        | 0.9   | 150  | 0.2734          | 100.0    |
| 0.2465        | 0.96  | 160  | 0.2686          | 100.0    |
| 0.1953        | 1.02  | 170  | 0.2677          | 100.0793 |
| 0.1611        | 1.08  | 180  | 0.2665          | 100.0453 |
| 0.1548        | 1.14  | 190  | 0.2644          | 100.0    |
| 0.1379        | 1.2   | 200  | 0.2781          | 100.0    |
| 0.1593        | 1.27  | 210  | 0.2765          | 100.0    |
| 0.1266        | 1.33  | 220  | 0.2805          | 100.0    |
| 0.1407        | 1.39  | 230  | 0.2669          | 100.0567 |
| 0.1301        | 1.45  | 240  | 0.2708          | 100.0793 |
| 0.1546        | 1.51  | 250  | 0.2713          | 100.0793 |
| 0.1447        | 1.57  | 260  | 0.2723          | 100.0793 |
| 0.1762        | 1.63  | 270  | 0.2689          | 100.0    |
| 0.148         | 1.69  | 280  | 0.2693          | 100.0680 |
| 0.1468        | 1.75  | 290  | 0.2682          | 100.0340 |
| 0.1747        | 1.81  | 300  | 0.2688          | 100.0340 |
| 0.106         | 1.87  | 310  | 0.2606          | 100.0    |
| 0.1517        | 1.93  | 320  | 0.2606          | 100.0    |
| 0.143         | 1.99  | 330  | 0.2644          | 100.0    |
| 0.085         | 2.05  | 340  | 0.2644          | 100.0    |
| 0.0733        | 2.11  | 350  | 0.2840          | 100.0    |
| 0.0606        | 2.17  | 360  | 0.2879          | 100.0    |
| 0.071         | 2.23  | 370  | 0.2851          | 100.0    |
| 0.0518        | 2.29  | 380  | 0.2975          | 100.0    |
| 0.068         | 2.35  | 390  | 0.2936          | 100.0    |
| 0.0553        | 2.41  | 400  | 0.3062          | 100.0    |
| 0.049         | 2.47  | 410  | 0.3019          | 100.0    |
| 0.0621        | 2.53  | 420  | 0.3021          | 100.0    |
| 0.0593        | 2.59  | 430  | 0.2941          | 100.0    |
| 0.0604        | 2.65  | 440  | 0.2960          | 100.0    |
| 0.0711        | 2.71  | 450  | 0.2996          | 100.0    |
| 0.0643        | 2.77  | 460  | 0.2907          | 100.0    |
| 0.0554        | 2.83  | 470  | 0.2902          | 100.0    |
| 0.0595        | 2.89  | 480  | 0.2992          | 100.0    |
| 0.0693        | 2.95  | 490  | 0.2936          | 99.8527  |
| 0.0411        | 3.01  | 500  | 0.2937          | 100.0    |
| 0.0192        | 3.07  | 510  | 0.3174          | 100.0    |
| 0.0105        | 3.13  | 520  | 0.3468          | 100.0    |
| 0.0339        | 3.19  | 530  | 0.3439          | 100.0    |
| 0.0222        | 3.25  | 540  | 0.3571          | 100.0    |
| 0.0372        | 3.31  | 550  | 0.3393          | 100.0    |
| 0.0219        | 3.37  | 560  | 0.3468          | 100.0    |
| 0.0223        | 3.43  | 570  | 0.3341          | 100.0    |
| 0.0239        | 3.49  | 580  | 0.3393          | 100.0    |
| 0.0322        | 3.55  | 590  | 0.3378          | 100.0    |
| 0.0299        | 3.61  | 600  | 0.3296          | 100.0    |
| 0.0223        | 3.67  | 610  | 0.3367          | 100.0    |
| 0.0234        | 3.73  | 620  | 0.3345          | 100.0    |
| 0.0191        | 3.8   | 630  | 0.3395          | 100.0    |
| 0.0207        | 3.86  | 640  | 0.3439          | 100.0    |
| 0.0258        | 3.92  | 650  | 0.3440          | 100.0    |
| 0.0209        | 3.98  | 660  | 0.3442          | 100.0    |
| 0.0164        | 4.04  | 670  | 0.3551          | 100.0    |
| 0.0067        | 4.1   | 680  | 0.3559          | 100.0    |
| 0.0094        | 4.16  | 690  | 0.3628          | 100.0    |
| 0.0096        | 4.22  | 700  | 0.3661          | 100.0    |
| 0.0073        | 4.28  | 710  | 0.3682          | 100.0    |
| 0.0106        | 4.34  | 720  | 0.3717          | 100.0    |
| 0.0067        | 4.4   | 730  | 0.3749          | 100.0    |
| 0.005         | 4.46  | 740  | 0.3785          | 100.0    |
| 0.0101        | 4.52  | 750  | 0.3803          | 100.0    |
| 0.0084        | 4.58  | 760  | 0.3784          | 100.0    |
| 0.0079        | 4.64  | 770  | 0.3770          | 100.0    |
| 0.0038        | 4.7   | 780  | 0.3772          | 100.0    |
| 0.0057        | 4.76  | 790  | 0.3780          | 100.0    |
| 0.0103        | 4.82  | 800  | 0.3784          | 100.0    |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.14.7.dev0
- Tokenizers 0.14.1

{"language": ["en"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-medium", "model-index": [{"name": "whisper-medium-r22-e_v231109", "results": []}]}
transformers pytorch tensorboard safetensors whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer en base_model:openai/whisper-medium license:apache-2.0 endpoints_compatible region:us