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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
should probably proofread and complete it, then remove this comment. -->
# 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
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