---
library_name: transformers
language:
- ht
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
datasets:
- haitian-creole-asr
metrics:
- wer
model-index:
- name: Ayira Medium
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: Haitian Creole ASR Dataset
      type: haitian-creole-asr
      args: 'language: ht, split: train'
    metrics:
    - type: wer
      value: 0.1610558530986993
      name: Wer
---

<!-- 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. -->

# Ayira Medium

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Haitian Creole ASR Dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2185
- Wer: 0.1611

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.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: 500
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.1675        | 1.0   | 339  | 0.2434          | 0.2363 |
| 0.1356        | 2.0   | 678  | 0.2046          | 0.3384 |
| 0.0581        | 3.0   | 1017 | 0.1919          | 0.2433 |
| 0.0289        | 4.0   | 1356 | 0.1972          | 0.1909 |
| 0.0192        | 5.0   | 1695 | 0.2027          | 0.1787 |
| 0.005         | 6.0   | 2034 | 0.2043          | 0.1019 |
| 0.0036        | 7.0   | 2373 | 0.2093          | 0.1450 |
| 0.0006        | 8.0   | 2712 | 0.2147          | 0.1264 |
| 0.0004        | 9.0   | 3051 | 0.2162          | 0.1624 |
| 0.0003        | 10.0  | 3390 | 0.2185          | 0.1611 |


### Framework versions

- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1