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---
library_name: transformers
language:
- yo
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Small Naija
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 Small Naija
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5037
- Wer: 46.0115
## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 1.3494 | 0.1022 | 250 | 1.4026 | 80.6179 |
| 0.962 | 0.2045 | 500 | 1.0016 | 68.3649 |
| 0.751 | 0.3067 | 750 | 0.8457 | 58.7227 |
| 0.6622 | 0.4090 | 1000 | 0.7606 | 56.7281 |
| 0.601 | 0.5112 | 1250 | 0.7057 | 55.7731 |
| 0.6004 | 0.6135 | 1500 | 0.6700 | 51.7955 |
| 0.5235 | 0.7157 | 1750 | 0.6341 | 53.2861 |
| 0.4939 | 0.8180 | 2000 | 0.6102 | 53.3002 |
| 0.4897 | 0.9202 | 2250 | 0.5913 | 52.4227 |
| 0.3799 | 1.0225 | 2500 | 0.5749 | 50.2787 |
| 0.3693 | 1.1247 | 2750 | 0.5623 | 48.4396 |
| 0.3498 | 1.2270 | 3000 | 0.5506 | 48.1969 |
| 0.3438 | 1.3292 | 3250 | 0.5425 | 48.5770 |
| 0.3498 | 1.4315 | 3500 | 0.5342 | 46.8116 |
| 0.3126 | 1.5337 | 3750 | 0.5248 | 46.8427 |
| 0.3215 | 1.6360 | 4000 | 0.5172 | 46.2891 |
| 0.3318 | 1.7382 | 4250 | 0.5126 | 47.7971 |
| 0.3108 | 1.8405 | 4500 | 0.5080 | 46.3594 |
| 0.3499 | 1.9427 | 4750 | 0.5049 | 46.7832 |
| 0.2664 | 2.0450 | 5000 | 0.5037 | 46.0115 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.0.1+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
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