---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Small superU
  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 superU

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: 3.2716
- Wer: 96.2441

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer      |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.0           | 50.0   | 50   | 3.7169          | 94.3662  |
| 0.0           | 100.0  | 100  | 3.7773          | 102.3474 |
| 0.0           | 150.0  | 150  | 3.8105          | 102.3474 |
| 0.0           | 200.0  | 200  | 3.9007          | 101.8779 |
| 0.0028        | 250.0  | 250  | 3.2200          | 90.6103  |
| 0.0           | 300.0  | 300  | 3.1754          | 93.8967  |
| 0.0           | 350.0  | 350  | 3.1945          | 96.2441  |
| 0.0           | 400.0  | 400  | 3.2104          | 96.2441  |
| 0.0           | 450.0  | 450  | 3.2225          | 96.2441  |
| 0.0           | 500.0  | 500  | 3.2327          | 96.2441  |
| 0.0           | 550.0  | 550  | 3.2437          | 96.2441  |
| 0.0           | 600.0  | 600  | 3.2501          | 96.2441  |
| 0.0           | 650.0  | 650  | 3.2550          | 96.2441  |
| 0.0           | 700.0  | 700  | 3.2601          | 96.2441  |
| 0.0           | 750.0  | 750  | 3.2634          | 96.2441  |
| 0.0           | 800.0  | 800  | 3.2663          | 96.2441  |
| 0.0           | 850.0  | 850  | 3.2691          | 96.2441  |
| 0.0           | 900.0  | 900  | 3.2717          | 96.2441  |
| 0.0           | 950.0  | 950  | 3.2719          | 96.2441  |
| 0.0           | 1000.0 | 1000 | 3.2716          | 96.2441  |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1