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---
library_name: transformers
language:
- am
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: ' tiny Amharic - Biniyam Daniel'
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. -->
# tiny Amharic - Biniyam Daniel
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0803
- Wer: 24.4366
## 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 OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.5795 | 0.0665 | 100 | 1.5182 | 150.6407 |
| 1.2873 | 0.1330 | 200 | 1.2244 | 109.2797 |
| 0.3664 | 0.1995 | 300 | 0.3282 | 70.2607 |
| 0.2133 | 0.2660 | 400 | 0.2056 | 52.2095 |
| 0.171 | 0.3324 | 500 | 0.1731 | 46.8184 |
| 0.1422 | 0.3989 | 600 | 0.1467 | 41.7587 |
| 0.1392 | 0.4654 | 700 | 0.1344 | 38.8643 |
| 0.1264 | 0.5319 | 800 | 0.1247 | 36.7654 |
| 0.1113 | 0.5984 | 900 | 0.1186 | 34.3570 |
| 0.1038 | 0.6649 | 1000 | 0.1125 | 33.0977 |
| 0.0978 | 0.7314 | 1100 | 0.1091 | 33.0535 |
| 0.0959 | 0.7979 | 1200 | 0.1033 | 30.3137 |
| 0.0876 | 0.8644 | 1300 | 0.1003 | 29.6730 |
| 0.0975 | 0.9309 | 1400 | 0.0966 | 29.6730 |
| 0.0863 | 0.9973 | 1500 | 0.0968 | 28.9660 |
| 0.0633 | 1.0638 | 1600 | 0.0934 | 28.0601 |
| 0.0612 | 1.1303 | 1700 | 0.0913 | 28.3031 |
| 0.0576 | 1.1968 | 1800 | 0.0905 | 27.1542 |
| 0.0652 | 1.2633 | 1900 | 0.0886 | 27.1984 |
| 0.0636 | 1.3298 | 2000 | 0.0857 | 26.5135 |
| 0.0623 | 1.3963 | 2100 | 0.0852 | 25.9611 |
| 0.0556 | 1.4628 | 2200 | 0.0839 | 25.3646 |
| 0.0569 | 1.5293 | 2300 | 0.0827 | 25.6739 |
| 0.0574 | 1.5957 | 2400 | 0.0822 | 25.2762 |
| 0.0649 | 1.6622 | 2500 | 0.0813 | 24.9448 |
| 0.0744 | 1.7287 | 2600 | 0.0808 | 24.7238 |
| 0.0686 | 1.7952 | 2700 | 0.0805 | 24.7017 |
| 0.0587 | 1.8617 | 2800 | 0.0803 | 24.4145 |
| 0.0615 | 1.9282 | 2900 | 0.0803 | 24.4366 |
| 0.0637 | 1.9947 | 3000 | 0.0803 | 24.4366 |
### Framework versions
- Transformers 4.57.1
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.22.1
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