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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 continued from check point 8e-6 - 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 continued from check point 8e-6 - 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: 0.0534
- Wer: 18.3821
## 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: 8e-06
- 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
- training_steps: 5088
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.0608 | 0.0337 | 100 | 0.0588 | 20.9205 |
| 0.0617 | 0.0675 | 200 | 0.0568 | 20.5858 |
| 0.0477 | 0.1012 | 300 | 0.0563 | 20.6137 |
| 0.0526 | 0.1350 | 400 | 0.0558 | 20.1953 |
| 0.0555 | 0.1687 | 500 | 0.0560 | 19.9721 |
| 0.0542 | 0.2025 | 600 | 0.0564 | 20.5858 |
| 0.0458 | 0.2362 | 700 | 0.0557 | 20.8368 |
| 0.0439 | 0.2700 | 800 | 0.0559 | 20.0837 |
| 0.0419 | 0.3037 | 900 | 0.0562 | 20.5021 |
| 0.0469 | 0.3375 | 1000 | 0.0556 | 19.6653 |
| 0.0457 | 0.3712 | 1100 | 0.0550 | 20.0 |
| 0.0465 | 0.4050 | 1200 | 0.0550 | 19.7768 |
| 0.0453 | 0.4387 | 1300 | 0.0552 | 19.3863 |
| 0.0425 | 0.4725 | 1400 | 0.0558 | 19.6095 |
| 0.0464 | 0.5062 | 1500 | 0.0547 | 19.6653 |
| 0.0396 | 0.5400 | 1600 | 0.0545 | 19.3863 |
| 0.043 | 0.5737 | 1700 | 0.0551 | 19.6653 |
| 0.0415 | 0.6075 | 1800 | 0.0550 | 19.3305 |
| 0.0396 | 0.6412 | 1900 | 0.0546 | 18.4937 |
| 0.0409 | 0.6750 | 2000 | 0.0542 | 18.7448 |
| 0.0418 | 0.7087 | 2100 | 0.0534 | 19.0237 |
| 0.0446 | 0.7425 | 2200 | 0.0538 | 19.1074 |
| 0.0364 | 0.7762 | 2300 | 0.0537 | 18.6053 |
| 0.0343 | 0.8100 | 2400 | 0.0537 | 18.4658 |
| 0.0437 | 0.8437 | 2500 | 0.0532 | 18.4100 |
| 0.0386 | 0.8775 | 2600 | 0.0530 | 18.9121 |
| 0.0426 | 0.9112 | 2700 | 0.0534 | 18.2706 |
| 0.0372 | 0.9450 | 2800 | 0.0536 | 18.6890 |
| 0.0325 | 0.9787 | 2900 | 0.0533 | 18.5495 |
| 0.03 | 1.0125 | 3000 | 0.0537 | 18.4100 |
| 0.0253 | 1.0462 | 3100 | 0.0545 | 18.5774 |
| 0.0316 | 1.0800 | 3200 | 0.0550 | 18.4658 |
| 0.0251 | 1.1137 | 3300 | 0.0556 | 18.7727 |
| 0.0261 | 1.1475 | 3400 | 0.0554 | 18.2427 |
| 0.0285 | 1.1812 | 3500 | 0.0551 | 18.4658 |
| 0.0234 | 1.2150 | 3600 | 0.0553 | 18.6890 |
| 0.0369 | 1.2487 | 3700 | 0.0549 | 18.3543 |
| 0.0248 | 1.2825 | 3800 | 0.0553 | 18.2985 |
| 0.0238 | 1.3162 | 3900 | 0.0551 | 18.2985 |
| 0.0278 | 1.3500 | 4000 | 0.0551 | 18.1311 |
| 0.0351 | 1.3837 | 4100 | 0.0544 | 18.4379 |
| 0.0459 | 1.4175 | 4200 | 0.0539 | 17.9916 |
| 0.0469 | 1.4512 | 4300 | 0.0537 | 18.3543 |
| 0.0384 | 1.4850 | 4400 | 0.0536 | 18.4658 |
| 0.0503 | 1.5187 | 4500 | 0.0536 | 18.4100 |
| 0.0369 | 1.5525 | 4600 | 0.0536 | 18.2985 |
| 0.0373 | 1.5862 | 4700 | 0.0535 | 18.4100 |
| 0.0376 | 1.6200 | 4800 | 0.0534 | 18.3821 |
| 0.0385 | 1.6537 | 4900 | 0.0534 | 18.3821 |
| 0.0362 | 1.6875 | 5000 | 0.0534 | 18.3821 |
### Framework versions
- Transformers 4.57.1
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.22.1
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