|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- PolyAI/minds14 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper-tiny-en-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: 0.2744982290436836 |
|
--- |
|
|
|
<!-- 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-en-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: 0.5680 |
|
- Wer Ortho: 0.2721 |
|
- Wer: 0.2745 |
|
|
|
## 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: 4 |
|
- total_train_batch_size: 16 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: constant_with_warmup |
|
- lr_scheduler_warmup_steps: 50 |
|
- training_steps: 500 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
|
| 1.4576 | 1.79 | 50 | 0.9286 | 0.3128 | 0.3152 | |
|
| 0.3694 | 3.57 | 100 | 0.5188 | 0.2776 | 0.2774 | |
|
| 0.0466 | 5.36 | 150 | 0.4494 | 0.2640 | 0.2692 | |
|
| 0.008 | 7.14 | 200 | 0.4855 | 0.2782 | 0.2816 | |
|
| 0.0026 | 8.93 | 250 | 0.4892 | 0.2801 | 0.2845 | |
|
| 0.0016 | 10.71 | 300 | 0.5116 | 0.2745 | 0.2774 | |
|
| 0.0004 | 12.5 | 350 | 0.5383 | 0.2770 | 0.2798 | |
|
| 0.0002 | 14.29 | 400 | 0.5471 | 0.2758 | 0.2774 | |
|
| 0.0002 | 16.07 | 450 | 0.5590 | 0.2714 | 0.2733 | |
|
| 0.0001 | 17.86 | 500 | 0.5680 | 0.2721 | 0.2745 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.30.2 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.13.1 |
|
- Tokenizers 0.13.3 |
|
|
