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# whisper-small-yue-fold-2

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4821
- Wer: 94.3203

## 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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.7204        | 0.38  | 50   | 2.3209          | 128.8641 |
| 0.7581        | 0.75  | 100  | 0.4446          | 191.2477 |
| 0.2924        | 1.13  | 150  | 0.3421          | 127.1881 |
| 0.2626        | 1.5   | 200  | 0.3177          | 109.4041 |
| 0.2592        | 1.88  | 250  | 0.2957          | 93.0168  |
| 0.1538        | 2.26  | 300  | 0.2956          | 90.5028  |
| 0.151         | 2.63  | 350  | 0.2930          | 72.6257  |
| 0.1577        | 3.01  | 400  | 0.2837          | 69.7393  |
| 0.0751        | 3.38  | 450  | 0.2959          | 74.7672  |
| 0.0747        | 3.76  | 500  | 0.2924          | 71.6946  |
| 0.0527        | 4.14  | 550  | 0.3009          | 70.8566  |
| 0.0465        | 4.51  | 600  | 0.3071          | 69.7393  |
| 0.047         | 4.89  | 650  | 0.2967          | 70.7635  |
| 0.0181        | 5.26  | 700  | 0.3134          | 67.1322  |
| 0.0227        | 5.64  | 750  | 0.3190          | 73.3706  |
| 0.0254        | 6.02  | 800  | 0.3155          | 84.3575  |
| 0.0103        | 6.39  | 850  | 0.3334          | 71.4153  |
| 0.0124        | 6.77  | 900  | 0.3390          | 81.8436  |
| 0.0085        | 7.14  | 950  | 0.3322          | 75.1397  |
| 0.0094        | 7.52  | 1000 | 0.3422          | 72.3464  |
| 0.0099        | 7.89  | 1050 | 0.3450          | 74.4879  |
| 0.0044        | 8.27  | 1100 | 0.3585          | 72.2533  |
| 0.0054        | 8.65  | 1150 | 0.3760          | 74.5810  |
| 0.0066        | 9.02  | 1200 | 0.3639          | 72.4395  |
| 0.0058        | 9.4   | 1250 | 0.3664          | 72.2533  |
| 0.0035        | 9.77  | 1300 | 0.3702          | 75.9777  |
| 0.0068        | 10.15 | 1350 | 0.3756          | 72.2533  |
| 0.0037        | 10.53 | 1400 | 0.3746          | 80.8194  |
| 0.0046        | 10.9  | 1450 | 0.3866          | 72.8119  |
| 0.0021        | 11.28 | 1500 | 0.4072          | 70.3911  |
| 0.0018        | 11.65 | 1550 | 0.4021          | 72.9050  |
| 0.003         | 12.03 | 1600 | 0.4056          | 76.3501  |
| 0.002         | 12.41 | 1650 | 0.4037          | 71.7877  |
| 0.0037        | 12.78 | 1700 | 0.4119          | 71.3222  |
| 0.0004        | 13.16 | 1750 | 0.4214          | 71.4153  |
| 0.0017        | 13.53 | 1800 | 0.4159          | 71.0428  |
| 0.0013        | 13.91 | 1850 | 0.4408          | 70.7635  |
| 0.0005        | 14.29 | 1900 | 0.4486          | 67.3184  |
| 0.0002        | 14.66 | 1950 | 0.4426          | 69.5531  |
| 0.0004        | 15.04 | 2000 | 0.4597          | 69.6462  |
| 0.0003        | 15.41 | 2050 | 0.4699          | 71.5084  |
| 0.0001        | 15.79 | 2100 | 0.4753          | 72.9981  |
| 0.0001        | 16.17 | 2150 | 0.4797          | 91.1546  |
| 0.0004        | 16.54 | 2200 | 0.4821          | 94.3203  |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 1.12.1
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "whisper-small-yue-fold-2", "results": []}]}
transformers safetensors whisper automatic-speech-recognition generated_from_trainer base_model:openai/whisper-small license:apache-2.0 endpoints_compatible region:us