|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- PolyAI/minds14 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper-tiny-PolyAI-minds14 |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: PolyAI/minds14 |
|
type: PolyAI/minds14 |
|
config: en-US |
|
split: train |
|
args: en-US |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 0.33392963625521765 |
|
--- |
|
|
|
<!-- 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-minds14 |
|
|
|
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: 0.5770 |
|
- Wer Ortho: 0.3441 |
|
- Wer: 0.3339 |
|
|
|
## 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: 16 |
|
- eval_batch_size: 16 |
|
- 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 |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
|
| 2.1657 | 1.0 | 28 | 1.5460 | 0.4913 | 0.4168 | |
|
| 0.4751 | 2.0 | 56 | 0.5582 | 0.3872 | 0.3757 | |
|
| 0.346 | 3.0 | 84 | 0.5050 | 0.3622 | 0.3518 | |
|
| 0.2062 | 4.0 | 112 | 0.4995 | 0.3797 | 0.3661 | |
|
| 0.1223 | 5.0 | 140 | 0.5165 | 0.3547 | 0.3435 | |
|
| 0.069 | 6.0 | 168 | 0.5367 | 0.3516 | 0.3351 | |
|
| 0.0311 | 7.0 | 196 | 0.5545 | 0.3741 | 0.3643 | |
|
| 0.013 | 8.0 | 224 | 0.5766 | 0.3822 | 0.3661 | |
|
| 0.0075 | 9.0 | 252 | 0.5770 | 0.3441 | 0.3339 | |
|
| 0.0037 | 10.0 | 280 | 0.5977 | 0.3485 | 0.3423 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.29.2 |
|
- Pytorch 2.0.0 |
|
- Datasets 2.13.1 |
|
- Tokenizers 0.13.3 |
|
|
