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---
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
model-index:
- name: Whisper-medium-Arabic-phoneme-10
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-medium-Arabic-phoneme-10
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2343
## 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: 0.001
- train_batch_size: 8
- 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: 50
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.815 | 1.0 | 41 | 0.3574 |
| 0.1191 | 2.0 | 82 | 0.2477 |
| 0.0683 | 3.0 | 123 | 0.2215 |
| 0.0374 | 4.0 | 164 | 0.2570 |
| 0.0233 | 5.0 | 205 | 0.2492 |
| 0.0139 | 6.0 | 246 | 0.2441 |
| 0.0054 | 7.0 | 287 | 0.2294 |
| 0.0015 | 8.0 | 328 | 0.2363 |
| 0.0008 | 9.0 | 369 | 0.2335 |
| 0.0006 | 10.0 | 410 | 0.2343 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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