|
--- |
|
license: apache-2.0 |
|
base_model: openai/whisper-tiny |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- PolyAI/minds14 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper-tiny-english-minds14 |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: PolyAI/minds14 |
|
type: PolyAI/minds14 |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 0.35335917312661497 |
|
--- |
|
|
|
<!-- 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-english-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: 0.7096 |
|
- Wer Ortho: 0.3520 |
|
- Wer: 0.3534 |
|
|
|
## 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_steps: 50 |
|
- training_steps: 500 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
|
| 0.3391 | 3.45 | 100 | 0.5298 | 0.3506 | 0.3508 | |
|
| 0.0475 | 6.9 | 200 | 0.5772 | 0.3560 | 0.3559 | |
|
| 0.0046 | 10.34 | 300 | 0.6521 | 0.3546 | 0.3540 | |
|
| 0.0014 | 13.79 | 400 | 0.6903 | 0.3506 | 0.3521 | |
|
| 0.0009 | 17.24 | 500 | 0.7096 | 0.3520 | 0.3534 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.16.0 |
|
- Tokenizers 0.15.0 |
|
|
