File size: 1,955 Bytes
15db6aa |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 |
---
library_name: transformers
license: apache-2.0
base_model: tarteel-ai/whisper-base-ar-quran
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Base Ar Tashkeel - AzeemX
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 Base Ar Tashkeel - AzeemX
This model is a fine-tuned version of [tarteel-ai/whisper-base-ar-quran](https://huggingface.co/tarteel-ai/whisper-base-ar-quran) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0762
- Wer: 11.1681
## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 7000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.1686 | 1.0320 | 1000 | 0.1651 | 26.5255 |
| 0.0828 | 2.0640 | 2000 | 0.1216 | 20.2028 |
| 0.0459 | 3.0960 | 3000 | 0.1020 | 16.3712 |
| 0.0237 | 4.1280 | 4000 | 0.0898 | 14.2751 |
| 0.0142 | 5.1600 | 5000 | 0.0808 | 12.4992 |
| 0.009 | 6.1920 | 6000 | 0.0772 | 11.4605 |
| 0.0054 | 7.2239 | 7000 | 0.0762 | 11.1681 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.3.1
- Datasets 3.0.1
- Tokenizers 0.20.0
|