---
language:
- sn
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- mother_tongue_complete_dataset
metrics:
- wer
model-index:
- name: mother_tongue_model_v3
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: mother_tongue_dataset_complete
      type: mother_tongue_complete_dataset
      args: 'config: sn'
    metrics:
    - name: Wer
      type: wer
      value: 0.0
---

<!-- 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. -->

# mother_tongue_model_v3

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mother_tongue_dataset_complete dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Wer: 0.0

## 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: 1
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch    | Step | Validation Loss | Wer |
|:-------------:|:--------:|:----:|:---------------:|:---:|
| 0.0018        | 16.3934  | 500  | 0.0009          | 0.0 |
| 0.0001        | 32.7869  | 1000 | 0.0001          | 0.0 |
| 0.0           | 49.1803  | 1500 | 0.0001          | 0.0 |
| 0.0           | 65.5738  | 2000 | 0.0000          | 0.0 |
| 0.0           | 81.9672  | 2500 | 0.0000          | 0.0 |
| 0.0           | 98.3607  | 3000 | 0.0000          | 0.0 |
| 0.0           | 114.7541 | 3500 | 0.0000          | 0.0 |
| 0.0           | 131.1475 | 4000 | 0.0000          | 0.0 |
| 0.0           | 147.5410 | 4500 | 0.0000          | 0.0 |
| 0.0           | 163.9344 | 5000 | 0.0000          | 0.0 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1