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

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: 0.0000
- Wer: 0.6383

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 132
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 1.4305        | 1.9417  | 100  | 0.1954          | 36.8085 |
| 0.3179        | 3.8835  | 200  | 0.1760          | 71.7021 |
| 0.1876        | 5.8252  | 300  | 0.2092          | 24.4681 |
| 0.1377        | 7.7670  | 400  | 0.1063          | 23.1915 |
| 0.0933        | 9.7087  | 500  | 0.0556          | 7.8723  |
| 0.0713        | 11.6505 | 600  | 0.0556          | 9.5745  |
| 0.0548        | 13.5922 | 700  | 0.0289          | 5.1064  |
| 0.0436        | 15.5340 | 800  | 0.0330          | 3.6170  |
| 0.0258        | 17.4757 | 900  | 0.0041          | 0.8511  |
| 0.0094        | 19.4175 | 1000 | 0.0072          | 2.1277  |
| 0.0047        | 21.3592 | 1100 | 0.0001          | 1.7021  |
| 0.001         | 23.3010 | 1200 | 0.0001          | 0.8511  |
| 0.0           | 25.2427 | 1300 | 0.0000          | 0.6383  |
| 0.0           | 27.1845 | 1400 | 0.0000          | 0.6383  |
| 0.0           | 29.1262 | 1500 | 0.0000          | 0.6383  |


### Framework versions

- Transformers 4.45.0.dev0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1