|
--- |
|
license: apache-2.0 |
|
base_model: openai/whisper-tiny |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- PolyAI/minds14 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper-tiny-polyai-enUS_lower_lr |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: PolyAI/minds14 |
|
type: PolyAI/minds14 |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 0.38488783943329397 |
|
--- |
|
|
|
<!-- 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-polyai-enUS_lower_lr |
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.7730 |
|
- Wer Ortho: 0.4022 |
|
- Wer: 0.3849 |
|
|
|
## 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: 5e-06 |
|
- train_batch_size: 32 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: constant_with_warmup |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- training_steps: 500 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
|
| 2.9571 | 3.33 | 50 | 1.9622 | 0.5077 | 0.4050 | |
|
| 0.5131 | 6.67 | 100 | 0.6540 | 0.4152 | 0.3684 | |
|
| 0.2572 | 10.0 | 150 | 0.6091 | 0.3874 | 0.3524 | |
|
| 0.0974 | 13.33 | 200 | 0.6316 | 0.3745 | 0.3442 | |
|
| 0.0405 | 16.67 | 250 | 0.6686 | 0.3917 | 0.3577 | |
|
| 0.0116 | 20.0 | 300 | 0.7097 | 0.4028 | 0.3766 | |
|
| 0.0049 | 23.33 | 350 | 0.7341 | 0.3954 | 0.3743 | |
|
| 0.0032 | 26.67 | 400 | 0.7510 | 0.4065 | 0.3884 | |
|
| 0.0023 | 30.0 | 450 | 0.7607 | 0.3967 | 0.3778 | |
|
| 0.0018 | 33.33 | 500 | 0.7730 | 0.4022 | 0.3849 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.0 |
|
|