|
--- |
|
license: apache-2.0 |
|
tags: |
|
- whisper-event |
|
- generated_from_trainer |
|
datasets: |
|
- google/fleurs |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Tiny Pashto |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: google/fleurs ps_af |
|
type: google/fleurs |
|
config: ps_af |
|
split: test |
|
args: ps_af |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 497.22306295399517 |
|
--- |
|
|
|
<!-- 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 Tiny Pashto |
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the google/fleurs ps_af dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.0279 |
|
- Wer: 497.2231 |
|
|
|
## 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: 64 |
|
- eval_batch_size: 32 |
|
- 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: 700 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 2.9393 | 14.29 | 100 | 2.9025 | 369.2645 | |
|
| 2.7124 | 28.57 | 200 | 2.7165 | 407.9222 | |
|
| 2.4773 | 42.86 | 300 | 2.4649 | 449.5006 | |
|
| 2.3142 | 57.14 | 400 | 2.3466 | 473.6002 | |
|
| 2.2942 | 71.43 | 500 | 2.3101 | 485.9867 | |
|
| 2.0644 | 85.71 | 600 | 2.0926 | 491.4800 | |
|
| 1.9799 | 100.0 | 700 | 2.0279 | 497.2231 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0.dev0 |
|
- Pytorch 1.13.1+cu117 |
|
- Datasets 2.7.1.dev0 |
|
- Tokenizers 0.13.2 |
|
|
