---
language:
- en
license: apache-2.0
base_model: openai/whisper-small.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Small Book
  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 Book

This model is a fine-tuned version of [openai/whisper-small.en](https://huggingface.co/openai/whisper-small.en) on the Book dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0043
- Wer: 0.8502
- Cer: 0.1860

## 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: 100
- training_steps: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     | Cer    |
|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
| 3.6055        | 0.0709 | 10   | 3.2795          | 20.7129 | 5.9391 |
| 3.5036        | 0.1418 | 20   | 2.9343          | 19.6532 | 5.7191 |
| 2.9344        | 0.2128 | 30   | 2.4058          | 17.2447 | 5.2623 |
| 2.3634        | 0.2837 | 40   | 1.7221          | 15.2216 | 4.7547 |
| 1.6372        | 0.3546 | 50   | 1.1584          | 12.9094 | 4.0948 |
| 1.2803        | 0.4255 | 60   | 1.0066          | 11.7534 | 3.5702 |
| 1.1453        | 0.4965 | 70   | 0.9125          | 9.1522  | 2.7580 |
| 1.0048        | 0.5674 | 80   | 0.8253          | 7.1291  | 2.1320 |
| 0.9227        | 0.6383 | 90   | 0.7304          | 5.7803  | 1.7428 |
| 0.8517        | 0.7092 | 100  | 0.6404          | 4.6243  | 1.4382 |
| 0.7304        | 0.7801 | 110  | 0.5414          | 3.1792  | 0.9306 |
| 0.6129        | 0.8511 | 120  | 0.4563          | 2.8902  | 0.7445 |
| 0.5272        | 0.9220 | 130  | 0.3733          | 2.1195  | 0.5922 |
| 0.4034        | 0.9929 | 140  | 0.3006          | 1.7341  | 0.4399 |
| 0.2945        | 1.0638 | 150  | 0.2279          | 1.1561  | 0.3384 |
| 0.2304        | 1.1348 | 160  | 0.1621          | 1.1561  | 0.3384 |
| 0.1543        | 1.2057 | 170  | 0.1051          | 1.2524  | 0.3215 |
| 0.1112        | 1.2766 | 180  | 0.0686          | 0.9634  | 0.2707 |
| 0.081         | 1.3475 | 190  | 0.0439          | 0.8671  | 0.2369 |
| 0.0593        | 1.4184 | 200  | 0.0333          | 0.7707  | 0.1523 |
| 0.0555        | 1.4894 | 210  | 0.0256          | 0.9634  | 0.1861 |
| 0.0438        | 1.5603 | 220  | 0.0203          | 0.7707  | 0.1523 |
| 0.0444        | 1.6312 | 230  | 0.0150          | 0.6744  | 0.1354 |
| 0.0435        | 1.7021 | 240  | 0.0111          | 0.6744  | 0.1354 |
| 0.0319        | 1.7730 | 250  | 0.0081          | 0.5780  | 0.1184 |
| 0.0256        | 1.8440 | 260  | 0.0065          | 0.4817  | 0.1015 |
| 0.0288        | 1.9149 | 270  | 0.0063          | 0.6744  | 0.1354 |
| 0.0161        | 1.9858 | 280  | 0.0055          | 0.6744  | 0.1354 |
| 0.0073        | 2.0567 | 290  | 0.0076          | 0.6744  | 0.1354 |
| 0.0064        | 2.1277 | 300  | 0.0035          | 0.4817  | 0.1015 |
| 0.0074        | 2.1986 | 310  | 0.0033          | 0.4817  | 0.1015 |
| 0.0064        | 2.2695 | 320  | 0.0029          | 0.4817  | 0.1015 |
| 0.0054        | 2.3404 | 330  | 0.0033          | 0.5780  | 0.1184 |
| 0.0107        | 2.4113 | 340  | 0.0026          | 0.4817  | 0.1015 |
| 0.0036        | 2.4823 | 350  | 0.0025          | 0.4817  | 0.1015 |
| 0.008         | 2.5532 | 360  | 0.0023          | 0.4817  | 0.1015 |
| 0.0043        | 2.6241 | 370  | 0.0021          | 0.4817  | 0.1015 |
| 0.004         | 2.6950 | 380  | 0.0020          | 0.4817  | 0.1015 |
| 0.0047        | 2.7660 | 390  | 0.0019          | 0.4817  | 0.1015 |
| 0.0034        | 2.8369 | 400  | 0.0019          | 0.4817  | 0.1015 |
| 0.0034        | 2.9078 | 410  | 0.0018          | 0.4817  | 0.1015 |
| 0.0042        | 2.9787 | 420  | 0.0018          | 0.4817  | 0.1015 |
| 0.0028        | 3.0496 | 430  | 0.0017          | 0.4817  | 0.1015 |
| 0.0021        | 3.1206 | 440  | 0.0017          | 0.4817  | 0.1015 |
| 0.0018        | 3.1915 | 450  | 0.0016          | 0.4817  | 0.1015 |
| 0.0031        | 3.2624 | 460  | 0.0016          | 0.4817  | 0.1015 |
| 0.0019        | 3.3333 | 470  | 0.0016          | 0.4817  | 0.1015 |
| 0.0019        | 3.4043 | 480  | 0.0016          | 0.4817  | 0.1015 |
| 0.002         | 3.4752 | 490  | 0.0016          | 0.4817  | 0.1015 |
| 0.002         | 3.5461 | 500  | 0.0016          | 0.4817  | 0.1015 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1