|
--- |
|
license: apache-2.0 |
|
base_model: steja/whisper-small-persian |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- fleurs |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: pashto-asr-cws-v1 |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: fleurs |
|
type: fleurs |
|
config: ps_af |
|
split: None |
|
args: ps_af |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 49.37953995157385 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# pashto-asr-cws-v1 |
|
|
|
This model is a fine-tuned version of [steja/whisper-small-persian](https://huggingface.co/steja/whisper-small-persian) on the fleurs dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.7501 |
|
- Wer: 49.3795 |
|
- Cer: 20.8766 |
|
|
|
## 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: 32 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 30 |
|
- training_steps: 1000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
|
|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:| |
|
| 0.7899 | 0.8065 | 100 | 0.8629 | 75.8323 | 47.9045 | |
|
| 0.5051 | 1.6129 | 200 | 0.6860 | 52.9888 | 23.1242 | |
|
| 0.3555 | 2.4194 | 300 | 0.6612 | 51.6798 | 22.9404 | |
|
| 0.257 | 3.2258 | 400 | 0.6565 | 49.2660 | 21.0588 | |
|
| 0.2174 | 4.0323 | 500 | 0.6560 | 47.1777 | 19.8523 | |
|
| 0.1626 | 4.8387 | 600 | 0.6787 | 48.7591 | 20.4305 | |
|
| 0.1268 | 5.6452 | 700 | 0.7062 | 49.4401 | 21.0137 | |
|
| 0.0871 | 6.4516 | 800 | 0.7279 | 49.2433 | 20.7062 | |
|
| 0.0685 | 7.2581 | 900 | 0.7443 | 49.3795 | 21.2276 | |
|
| 0.0662 | 8.0645 | 1000 | 0.7501 | 49.3795 | 20.8766 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.42.4 |
|
- Pytorch 2.3.1+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
