|
---
|
|
license: apache-2.0
|
|
base_model: openai/whisper-small
|
|
tags:
|
|
- generated_from_trainer
|
|
metrics:
|
|
- wer
|
|
model-index:
|
|
- name: whisper-small-ar
|
|
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
|
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
|
|
It achieves the following results on the evaluation set:
|
|
- Loss: 3.8097
|
|
- Wer: 1097.8814
|
|
|
|
## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
|
- lr_scheduler_type: linear
|
|
- lr_scheduler_warmup_steps: 500
|
|
- training_steps: 50
|
|
- mixed_precision_training: Native AMP
|
|
|
|
### Training results
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
|
|:-------------:|:------:|:----:|:---------------:|:---------:|
|
|
| No log | 0.3226 | 10 | 4.4535 | 1724.5763 |
|
|
| No log | 0.6452 | 20 | 4.4159 | 1724.5763 |
|
|
| 4.5063 | 0.9677 | 30 | 4.2685 | 1724.5763 |
|
|
| 4.5063 | 1.2903 | 40 | 4.0350 | 1665.6780 |
|
|
| 4.154 | 1.6129 | 50 | 3.8097 | 1097.8814 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- Transformers 4.40.2
|
|
- Pytorch 2.3.0+cu118
|
|
- Datasets 2.19.1
|
|
- Tokenizers 0.19.1
|
|
|