|
--- |
|
language: |
|
- en |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- PolyAI/minds14 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper tiny en-US - J3 |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: PolyAI/minds14-en-US |
|
type: PolyAI/minds14 |
|
config: en-US |
|
split: train[450:] |
|
args: en-US |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 0.3654073199527745 |
|
--- |
|
|
|
<!-- 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-US - J3 |
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14-en-US dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.0413 |
|
- Wer Ortho: 0.3603 |
|
- Wer: 0.3654 |
|
|
|
## 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-05 |
|
- 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: reduce_lr_on_plateau |
|
- lr_scheduler_warmup_steps: 100 |
|
- training_steps: 2000 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
|
|:-------------:|:------:|:----:|:---------------:|:---------:|:------:| |
|
| 0.0001 | 35.71 | 500 | 0.8505 | 0.3430 | 0.3459 | |
|
| 0.0 | 71.43 | 1000 | 0.9093 | 0.3455 | 0.3501 | |
|
| 0.0 | 107.14 | 1500 | 0.9707 | 0.3553 | 0.3589 | |
|
| 0.0 | 142.86 | 2000 | 1.0413 | 0.3603 | 0.3654 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.30.2 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.13.1 |
|
- Tokenizers 0.13.3 |
|
|
