transformers tensorboard safetensors whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer en dataset:tobiolatunji/afrispeech-200 base_model:openai/whisper-small license:apache-2.0 endpoints_compatible region:us
---
language:
- en
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- tobiolatunji/afrispeech-200
model-index:
- name: Whisper Small En - Mpe_Lukhele
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper Small En - Mpendulo_Lukhele

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the AfriSpeech dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.6218
- eval_wer: 48.2933
- eval_runtime: 1524.348
- eval_samples_per_second: 1.968
- eval_steps_per_second: 0.246
- step: 0

## Model description

<iframe
	src="https://mpendulo-mpendulo-dsn-afrispeech.hf.space"
	frameborder="0"
	width="850"
	height="450"
></iframe>


## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 8
- training_steps: 10
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
