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---
library_name: transformers
base_model: Ahmed107/whisper-small-ar-eos-v8
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: whisper-small-ar-eos-v8-eos-v12-2.5
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-ar-eos-v8-eos-v12-2.5
This model is a fine-tuned version of [Ahmed107/whisper-small-ar-eos-v8](https://huggingface.co/Ahmed107/whisper-small-ar-eos-v8) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3173
- Accuracy: 0.6657
## 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: 5e-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5805 | 1.0 | 506 | 0.7427 | 0.5 |
| 0.5596 | 2.0 | 1012 | 0.6658 | 0.6306 |
| 0.4595 | 3.0 | 1518 | 0.7195 | 0.6217 |
| 0.5451 | 4.0 | 2024 | 0.6221 | 0.6791 |
| 0.4334 | 5.0 | 2530 | 0.6253 | 0.6936 |
| 0.3446 | 6.0 | 3036 | 0.7335 | 0.6730 |
| 0.3106 | 7.0 | 3542 | 0.8420 | 0.6702 |
| 0.1988 | 8.0 | 4048 | 1.0634 | 0.6842 |
| 0.1554 | 9.0 | 4554 | 1.2181 | 0.6747 |
| 0.0698 | 10.0 | 5060 | 1.5398 | 0.6802 |
| 0.1746 | 11.0 | 5566 | 1.8350 | 0.6652 |
| 0.0639 | 12.0 | 6072 | 2.3253 | 0.6602 |
| 0.0004 | 13.0 | 6578 | 2.4828 | 0.6663 |
| 0.0338 | 14.0 | 7084 | 2.5842 | 0.6758 |
| 0.0006 | 15.0 | 7590 | 2.7395 | 0.6713 |
| 0.0002 | 16.0 | 8096 | 2.7720 | 0.6669 |
| 0.0001 | 17.0 | 8602 | 2.7865 | 0.6685 |
| 0.0002 | 18.0 | 9108 | 2.8497 | 0.6607 |
| 0.0002 | 19.0 | 9614 | 2.8792 | 0.6607 |
| 0.008 | 20.0 | 10120 | 2.9188 | 0.6691 |
| 0.0001 | 21.0 | 10626 | 2.7606 | 0.6920 |
| 0.0051 | 22.0 | 11132 | 3.0888 | 0.6669 |
| 0.0 | 23.0 | 11638 | 3.0709 | 0.6747 |
| 0.0 | 24.0 | 12144 | 3.1538 | 0.6730 |
| 0.0 | 25.0 | 12650 | 3.2574 | 0.6646 |
| 0.0 | 26.0 | 13156 | 3.2662 | 0.6663 |
| 0.0 | 27.0 | 13662 | 3.2635 | 0.6685 |
| 0.0 | 28.0 | 14168 | 3.2895 | 0.6669 |
| 0.0 | 29.0 | 14674 | 3.3094 | 0.6652 |
| 0.0 | 30.0 | 15180 | 3.3173 | 0.6657 |
### Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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