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

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: 0.0225
- Wer: 39.3068

## 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: 11
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.9697        | 1.0     | 109  | 0.1804          | 43.4366 |
| 0.1049        | 2.0     | 218  | 0.0635          | 24.7050 |
| 0.0649        | 3.0     | 327  | 0.0376          | 13.4218 |
| 0.0659        | 4.0     | 436  | 0.0545          | 12.0944 |
| 0.0301        | 5.0     | 545  | 0.0538          | 23.2301 |
| 0.0382        | 6.0     | 654  | 0.0335          | 25.0737 |
| 0.0176        | 7.0     | 763  | 0.0253          | 28.9086 |
| 0.0153        | 8.0     | 872  | 0.0258          | 26.9174 |
| 0.0082        | 9.0     | 981  | 0.0257          | 51.4749 |
| 0.0054        | 10.0    | 1090 | 0.0222          | 42.5516 |
| 0.0036        | 10.9032 | 1188 | 0.0225          | 39.3068 |


### Framework versions

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