|
|
--- |
|
|
library_name: transformers |
|
|
language: |
|
|
- ur |
|
|
license: apache-2.0 |
|
|
base_model: openai/whisper-medium |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- fsicoli/common_voice_19_0 |
|
|
metrics: |
|
|
- wer |
|
|
model-index: |
|
|
- name: Whisper Medium Ur - Your Name |
|
|
results: |
|
|
- task: |
|
|
name: Automatic Speech Recognition |
|
|
type: automatic-speech-recognition |
|
|
dataset: |
|
|
name: Common Voice 19.0 |
|
|
type: fsicoli/common_voice_19_0 |
|
|
config: ur |
|
|
split: test |
|
|
args: 'config: ur, split: test' |
|
|
metrics: |
|
|
- name: Wer |
|
|
type: wer |
|
|
value: 27.720097349677363 |
|
|
--- |
|
|
|
|
|
<!-- 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 Medium Ur - Your Name |
|
|
|
|
|
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 19.0 dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.3564 |
|
|
- Wer: 27.7201 |
|
|
|
|
|
## 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: 3e-06 |
|
|
- train_batch_size: 8 |
|
|
- eval_batch_size: 8 |
|
|
- seed: 42 |
|
|
- gradient_accumulation_steps: 2 |
|
|
- total_train_batch_size: 16 |
|
|
- 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_steps: 150 |
|
|
- training_steps: 1500 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|
|:-------------:|:------:|:----:|:---------------:|:-------:| |
|
|
| 0.3965 | 0.6557 | 500 | 0.3952 | 30.0288 | |
|
|
| 0.3086 | 1.3108 | 1000 | 0.3665 | 27.9635 | |
|
|
| 0.2877 | 1.9666 | 1500 | 0.3564 | 27.7201 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.49.0 |
|
|
- Pytorch 2.5.1+cu121 |
|
|
- Datasets 3.4.1 |
|
|
- Tokenizers 0.21.0 |
|
|
|
