---
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: whisper-medium-english-2-wolof
  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-medium-english-2-wolof

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1668
- Bleu: 34.6061

## 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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 20000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Bleu    |
|:-------------:|:------:|:-----:|:---------------:|:-------:|
| 0.9771        | 0.8941 | 2000  | 0.9736          | 22.8506 |
| 0.6832        | 1.7881 | 4000  | 0.8379          | 30.0113 |
| 0.4568        | 2.6822 | 6000  | 0.8083          | 33.4759 |
| 0.2623        | 3.5762 | 8000  | 0.8506          | 33.4723 |
| 0.1608        | 4.4703 | 10000 | 0.9128          | 33.6342 |
| 0.0758        | 5.3643 | 12000 | 0.9808          | 33.7770 |
| 0.0315        | 6.2584 | 14000 | 1.0546          | 34.0842 |
| 0.0133        | 7.1524 | 16000 | 1.1085          | 34.2531 |
| 0.0057        | 8.0465 | 18000 | 1.1455          | 34.5325 |
| 0.0046        | 8.9405 | 20000 | 1.1668          | 34.6061 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.4.0+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1