|
|
--- |
|
|
library_name: transformers |
|
|
language: |
|
|
- dv |
|
|
license: apache-2.0 |
|
|
base_model: openai/whisper-medium |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- mozilla-foundation/common_voice_13_0 |
|
|
metrics: |
|
|
- wer |
|
|
model-index: |
|
|
- name: "Whisper \uFF2Dedium Dv - Leon Lee" |
|
|
results: |
|
|
- task: |
|
|
name: Automatic Speech Recognition |
|
|
type: automatic-speech-recognition |
|
|
dataset: |
|
|
name: Common Voice 13 |
|
|
type: mozilla-foundation/common_voice_13_0 |
|
|
config: dv |
|
|
split: test |
|
|
args: dv |
|
|
metrics: |
|
|
- name: Wer |
|
|
type: wer |
|
|
value: 8.432729422401502 |
|
|
--- |
|
|
|
|
|
<!-- 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 Dv - Leon Lee |
|
|
|
|
|
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 13 dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.2803 |
|
|
- Wer Ortho: 48.8335 |
|
|
- Wer: 8.4327 |
|
|
|
|
|
## 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: 4 |
|
|
- eval_batch_size: 4 |
|
|
- seed: 42 |
|
|
- gradient_accumulation_steps: 2 |
|
|
- total_train_batch_size: 8 |
|
|
- optimizer: Use OptimizerNames.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: 100 |
|
|
- training_steps: 8000 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
|
|
|:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:| |
|
|
| 0.1344 | 0.8157 | 500 | 0.1613 | 59.9206 | 12.1049 | |
|
|
| 0.0732 | 1.6313 | 1000 | 0.1382 | 52.9285 | 10.2271 | |
|
|
| 0.0411 | 2.4470 | 1500 | 0.1447 | 52.3087 | 9.7628 | |
|
|
| 0.0244 | 3.2626 | 2000 | 0.1538 | 51.6749 | 9.4534 | |
|
|
| 0.0164 | 4.0783 | 2500 | 0.1839 | 53.8617 | 9.4290 | |
|
|
| 0.0162 | 4.8940 | 3000 | 0.1734 | 51.7863 | 9.0604 | |
|
|
| 0.0086 | 5.7096 | 3500 | 0.1962 | 50.8949 | 9.0222 | |
|
|
| 0.0048 | 6.5253 | 4000 | 0.2299 | 50.7904 | 8.8205 | |
|
|
| 0.003 | 7.3409 | 4500 | 0.2336 | 50.7487 | 8.8344 | |
|
|
| 0.0017 | 8.1566 | 5000 | 0.2303 | 50.2472 | 8.6275 | |
|
|
| 0.0017 | 8.9723 | 5500 | 0.2455 | 49.9896 | 8.6327 | |
|
|
| 0.0005 | 9.7879 | 6000 | 0.2551 | 49.8015 | 8.5371 | |
|
|
| 0.0001 | 10.6036 | 6500 | 0.2682 | 48.8962 | 8.4414 | |
|
|
| 0.0 | 11.4192 | 7000 | 0.2732 | 48.6663 | 8.4206 | |
|
|
| 0.0 | 12.2349 | 7500 | 0.2800 | 48.8892 | 8.4605 | |
|
|
| 0.0 | 13.0506 | 8000 | 0.2803 | 48.8335 | 8.4327 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.48.1 |
|
|
- Pytorch 2.6.0+cu124 |
|
|
- Datasets 3.2.0 |
|
|
- Tokenizers 0.21.0 |
|
|
|
