---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-a-clp-ls-35
  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-a-clp-ls-35

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: 0.0283
- Wer: 7.3375

## 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: 0.0004
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 132
- num_epochs: 35
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer      |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| No log        | 1.0     | 40   | 0.1519          | 181.5514 |
| No log        | 2.0     | 80   | 0.1651          | 50.5241  |
| 1.2204        | 3.0     | 120  | 0.3615          | 112.1593 |
| 1.2204        | 4.0     | 160  | 0.3251          | 62.8931  |
| 0.1484        | 5.0     | 200  | 0.2501          | 50.3145  |
| 0.1484        | 6.0     | 240  | 0.1648          | 61.2159  |
| 0.1484        | 7.0     | 280  | 0.1351          | 30.8176  |
| 0.0823        | 8.0     | 320  | 0.0712          | 30.1887  |
| 0.0823        | 9.0     | 360  | 0.1608          | 57.0231  |
| 0.0528        | 10.0    | 400  | 0.0652          | 21.5933  |
| 0.0528        | 11.0    | 440  | 0.0569          | 19.9161  |
| 0.0528        | 12.0    | 480  | 0.0706          | 22.6415  |
| 0.0436        | 13.0    | 520  | 0.0498          | 14.6751  |
| 0.0436        | 14.0    | 560  | 0.0493          | 22.4319  |
| 0.0374        | 15.0    | 600  | 0.0946          | 28.0922  |
| 0.0374        | 16.0    | 640  | 0.0930          | 29.5597  |
| 0.0374        | 17.0    | 680  | 0.0532          | 24.3187  |
| 0.0249        | 18.0    | 720  | 0.0639          | 22.2222  |
| 0.0249        | 19.0    | 760  | 0.0355          | 11.3208  |
| 0.0151        | 20.0    | 800  | 0.0608          | 14.2558  |
| 0.0151        | 21.0    | 840  | 0.0612          | 15.7233  |
| 0.0151        | 22.0    | 880  | 0.0632          | 13.8365  |
| 0.0124        | 23.0    | 920  | 0.0436          | 15.3040  |
| 0.0124        | 24.0    | 960  | 0.0415          | 14.4654  |
| 0.0084        | 25.0    | 1000 | 0.0474          | 17.6101  |
| 0.0084        | 26.0    | 1040 | 0.0284          | 10.2725  |
| 0.0084        | 27.0    | 1080 | 0.0291          | 7.9665   |
| 0.0058        | 28.0    | 1120 | 0.0275          | 7.9665   |
| 0.0058        | 29.0    | 1160 | 0.0302          | 7.9665   |
| 0.005         | 30.0    | 1200 | 0.0278          | 7.9665   |
| 0.005         | 31.0    | 1240 | 0.0277          | 8.1761   |
| 0.005         | 32.0    | 1280 | 0.0289          | 8.1761   |
| 0.0035        | 33.0    | 1320 | 0.0284          | 7.3375   |
| 0.0035        | 34.0    | 1360 | 0.0283          | 7.3375   |
| 0.0035        | 34.1266 | 1365 | 0.0283          | 7.3375   |


### Framework versions

- Transformers 4.47.0.dev0
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0