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---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-en
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. -->
# whisper-small-en
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: 0.0947
- Wer: 11.3030
## 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: 50
- num_epochs: 200
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:--------:|:----:|:---------------:|:-------:|
| 0.0 | 7.6923 | 100 | 0.0560 | 11.6170 |
| 0.0 | 15.3846 | 200 | 0.0666 | 13.9717 |
| 0.0 | 23.0769 | 300 | 0.0754 | 13.8148 |
| 0.0 | 30.7692 | 400 | 0.0850 | 14.1287 |
| 0.0 | 38.4615 | 500 | 0.0945 | 13.1868 |
| 0.0 | 46.1538 | 600 | 0.1042 | 13.0298 |
| 0.0 | 53.8462 | 700 | 0.1147 | 13.8148 |
| 0.0 | 61.5385 | 800 | 0.1256 | 14.1287 |
| 0.0 | 69.2308 | 900 | 0.1361 | 14.7567 |
| 0.0 | 76.9231 | 1000 | 0.1487 | 13.8148 |
| 0.0 | 84.6154 | 1100 | 0.1619 | 17.1115 |
| 0.0 | 92.3077 | 1200 | 0.1759 | 17.2684 |
| 0.0 | 100.0 | 1300 | 0.1866 | 17.1115 |
| 0.0 | 107.6923 | 1400 | 0.1979 | 17.1115 |
| 0.0043 | 115.3846 | 1500 | 0.0933 | 10.2041 |
| 0.0 | 123.0769 | 1600 | 0.0901 | 10.9890 |
| 0.0 | 130.7692 | 1700 | 0.0914 | 11.3030 |
| 0.0 | 138.4615 | 1800 | 0.0922 | 11.3030 |
| 0.0 | 146.1538 | 1900 | 0.0929 | 11.3030 |
| 0.0 | 153.8462 | 2000 | 0.0933 | 11.3030 |
| 0.0 | 161.5385 | 2100 | 0.0938 | 11.3030 |
| 0.0 | 169.2308 | 2200 | 0.0942 | 11.3030 |
| 0.0 | 176.9231 | 2300 | 0.0943 | 11.3030 |
| 0.0 | 184.6154 | 2400 | 0.0945 | 11.3030 |
| 0.0 | 192.3077 | 2500 | 0.0947 | 11.3030 |
| 0.0 | 200.0 | 2600 | 0.0947 | 11.3030 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.2.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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