---
library_name: transformers
language:
- en
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper-squeezeformer-V9-mutliconv
  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-squeezeformer-V9-mutliconv

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the LibriSpeech dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1799
- Wer: 11.3645

## 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: 20
- 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: 2500
- training_steps: 45000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer      |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 4.7863        | 1.0   | 2500  | 3.8844          | 119.2635 |
| 3.9844        | 2.0   | 5000  | 3.7326          | 132.0431 |
| 3.459         | 3.0   | 7500  | 1.2427          | 72.6510  |
| 0.4598        | 4.0   | 10000 | 0.4232          | 23.4841  |
| 0.1931        | 5.0   | 12500 | 0.3479          | 20.3629  |
| 0.1096        | 6.0   | 15000 | 0.3255          | 17.5574  |
| 0.0631        | 7.0   | 17500 | 0.3251          | 16.8252  |
| 0.2473        | 8.0   | 20000 | 0.2452          | 14.4781  |
| 0.1433        | 9.0   | 22500 | 0.2323          | 13.0782  |
| 0.3067        | 10.0  | 25000 | 0.2224          | 14.5675  |
| 0.2769        | 11.0  | 27500 | 0.2015          | 13.2323  |
| 0.1853        | 12.0  | 30000 | 0.2004          | 14.1015  |
| 0.1308        | 13.0  | 32500 | 0.2011          | 13.2494  |
| 0.2435        | 14.0  | 35000 | 0.1830          | 11.9066  |
| 0.1786        | 15.0  | 37500 | 0.1804          | 12.7948  |
| 0.4194        | 16.0  | 40000 | 0.1833          | 10.3469  |
| 0.3283        | 17.0  | 42500 | 0.1818          | 10.2785  |
| 0.2936        | 18.0  | 45000 | 0.1799          | 11.3645  |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.0
- Datasets 3.2.0
- Tokenizers 0.20.3