|
--- |
|
library_name: transformers |
|
language: |
|
- en |
|
license: apache-2.0 |
|
base_model: openai/whisper-small |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_13_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Small Finetune - IERG4320 Project |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Common Voice 13 |
|
type: mozilla-foundation/common_voice_13_0 |
|
config: en |
|
split: None |
|
args: en |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 18.293375256561422 |
|
--- |
|
|
|
<!-- 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 Finetune - IERG4320 Project |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5674 |
|
- Wer Ortho: 22.0544 |
|
- Wer: 18.2934 |
|
|
|
## 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: 64 |
|
- seed: 42 |
|
- 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: constant_with_warmup |
|
- lr_scheduler_warmup_steps: 50 |
|
- training_steps: 1000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
|
|:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:| |
|
| 0.094 | 2.5974 | 200 | 0.4300 | 20.8774 | 17.1318 | |
|
| 0.0105 | 5.1948 | 400 | 0.5000 | 21.6635 | 17.7999 | |
|
| 0.0024 | 7.7922 | 600 | 0.5250 | 21.7294 | 17.9615 | |
|
| 0.0015 | 10.3896 | 800 | 0.5528 | 23.3630 | 19.5205 | |
|
| 0.0011 | 12.9870 | 1000 | 0.5674 | 22.0544 | 18.2934 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.46.3 |
|
- Pytorch 2.5.1 |
|
- Datasets 3.1.0 |
|
- Tokenizers 0.20.4 |
|
|
