---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper_aii_clp
  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_aii_clp

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: 0.0177
- Wer: 16.1426

## 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| No log        | 1.0     | 40   | 0.1406          | 27.2537 |
| No log        | 2.0     | 80   | 0.3498          | 99.7904 |
| 1.105         | 3.0     | 120  | 0.2394          | 41.7191 |
| 1.105         | 4.0     | 160  | 0.2428          | 44.4444 |
| 0.1638        | 5.0     | 200  | 0.2523          | 52.8302 |
| 0.1638        | 6.0     | 240  | 0.1421          | 55.9748 |
| 0.1638        | 7.0     | 280  | 0.0707          | 33.7526 |
| 0.0797        | 8.0     | 320  | 0.0827          | 38.7841 |
| 0.0797        | 9.0     | 360  | 0.0417          | 14.8847 |
| 0.0379        | 10.0    | 400  | 0.0549          | 20.3354 |
| 0.0379        | 11.0    | 440  | 0.0750          | 28.9308 |
| 0.0379        | 12.0    | 480  | 0.0367          | 21.8029 |
| 0.0226        | 13.0    | 520  | 0.0358          | 18.2390 |
| 0.0226        | 14.0    | 560  | 0.0292          | 20.1258 |
| 0.0143        | 15.0    | 600  | 0.0192          | 22.0126 |
| 0.0143        | 16.0    | 640  | 0.0199          | 20.9644 |
| 0.0143        | 17.0    | 680  | 0.0198          | 20.5451 |
| 0.0072        | 18.0    | 720  | 0.0176          | 17.6101 |
| 0.0072        | 19.0    | 760  | 0.0175          | 16.7715 |
| 0.0072        | 19.5063 | 780  | 0.0177          | 16.1426 |


### Framework versions

- Transformers 4.50.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0