---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-a-nomimo-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-nomimo-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: 0.0311
- Wer: 32.3302

## 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       |
|:-------------:|:-------:|:----:|:---------------:|:---------:|
| 0.9712        | 1.0     | 104  | 0.0786          | 25.0      |
| 3.0599        | 2.0     | 208  | 0.7840          | 3312.3457 |
| 0.3714        | 3.0     | 312  | 0.2694          | 98.3796   |
| 0.2625        | 4.0     | 416  | 0.2197          | 90.9722   |
| 0.2298        | 5.0     | 520  | 0.2035          | 84.9537   |
| 0.1929        | 6.0     | 624  | 0.1519          | 66.0494   |
| 0.1086        | 7.0     | 728  | 0.0641          | 41.6667   |
| 0.0401        | 8.0     | 832  | 0.0421          | 41.6667   |
| 0.0231        | 9.0     | 936  | 0.0324          | 34.8765   |
| 0.0119        | 10.0    | 1040 | 0.0310          | 34.7222   |
| 0.0057        | 10.8986 | 1133 | 0.0311          | 32.3302   |


### Framework versions

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