|
--- |
|
license: apache-2.0 |
|
base_model: openai/whisper-tiny |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- minds14 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper-tiny-en |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: minds14 |
|
type: minds14 |
|
config: en-US |
|
split: train |
|
args: en-US |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 0.2883917775090689 |
|
--- |
|
|
|
<!-- 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 |
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the minds14 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.7626 |
|
- Wer Ortho: 0.2891 |
|
- Wer: 0.2884 |
|
|
|
## 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: 32 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 50 |
|
- training_steps: 4000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
|
|:-------------:|:------:|:----:|:---------------:|:---------:|:------:| |
|
| 0.0005 | 35.71 | 500 | 0.6319 | 0.2684 | 0.2684 | |
|
| 0.0002 | 71.43 | 1000 | 0.6820 | 0.2709 | 0.2709 | |
|
| 0.0001 | 107.14 | 1500 | 0.7092 | 0.2740 | 0.2739 | |
|
| 0.0001 | 142.86 | 2000 | 0.7275 | 0.2854 | 0.2848 | |
|
| 0.0001 | 178.57 | 2500 | 0.7423 | 0.2885 | 0.2878 | |
|
| 0.0 | 214.29 | 3000 | 0.7531 | 0.2898 | 0.2890 | |
|
| 0.0 | 250.0 | 3500 | 0.7604 | 0.2898 | 0.2890 | |
|
| 0.0 | 285.71 | 4000 | 0.7626 | 0.2891 | 0.2884 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.39.2 |
|
- Pytorch 1.13.0+cu117 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.1 |
|
|
