---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-nm-no-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-nm-no-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: 0.1565
- Wer: 11.1562

## 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      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 33   | 0.1768          | 8.9249   |
| No log        | 2.0   | 66   | 0.2439          | 20.8925  |
| No log        | 3.0   | 99   | 0.4285          | 255.7809 |
| 1.2232        | 4.0   | 132  | 0.2449          | 26.3692  |
| 1.2232        | 5.0   | 165  | 0.5282          | 37.9310  |
| 1.2232        | 6.0   | 198  | 0.2170          | 25.3550  |
| 0.3525        | 7.0   | 231  | 0.1980          | 74.4422  |
| 0.3525        | 8.0   | 264  | 0.1585          | 14.6045  |
| 0.3525        | 9.0   | 297  | 0.1963          | 18.0527  |
| 0.0919        | 10.0  | 330  | 0.1787          | 12.9817  |
| 0.0919        | 11.0  | 363  | 0.1565          | 11.1562  |


### Framework versions

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