---
library_name: transformers
language:
- sna
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Base Shona - S2S-M Curriculum 3000 steps
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper Base Shona - S2S-M Curriculum 3000 steps

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Cleaned Google WAXAL Shona dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4319
- Wer: 38.3891

## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch_fused 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: 200
- training_steps: 3000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.5823        | 0.7194 | 600  | 0.5640          | 48.7739 |
| 0.3761        | 1.4388 | 1200 | 0.4798          | 41.6642 |
| 0.2204        | 2.1583 | 1800 | 0.4506          | 39.9044 |
| 0.4718        | 2.8777 | 2400 | 0.4322          | 39.9642 |
| 0.2857        | 3.5971 | 3000 | 0.4319          | 38.3891 |


### Framework versions

- Transformers 5.14.1
- Pytorch 2.12.0+cu130
- Datasets 5.0.0
- Tokenizers 0.22.2