|
--- |
|
license: apache-2.0 |
|
base_model: openai/whisper-tiny |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- PolyAI/minds14 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: PolyAI/minds14 |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: PolyAI/minds14 |
|
type: PolyAI/minds14 |
|
config: en-US |
|
split: train[450:] |
|
args: en-US |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 0.35780382479950645 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# minds14-finetuned |
|
|
|
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: 0.6602 |
|
- Wer Ortho: 0.3412 |
|
- Wer: 0.3578 |
|
|
|
## 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 |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
|
| 4.8952 | 1.0 | 28 | 2.9786 | 0.4097 | 0.5373 | |
|
| 2.0364 | 2.0 | 56 | 0.7791 | 0.3813 | 0.4275 | |
|
| 0.5903 | 3.0 | 84 | 0.5917 | 0.3506 | 0.3917 | |
|
| 0.3271 | 4.0 | 112 | 0.5681 | 0.3129 | 0.3381 | |
|
| 0.2543 | 5.0 | 140 | 0.5713 | 0.3365 | 0.3652 | |
|
| 0.1391 | 6.0 | 168 | 0.5896 | 0.3329 | 0.3621 | |
|
| 0.0846 | 7.0 | 196 | 0.6083 | 0.3388 | 0.3658 | |
|
| 0.0481 | 8.0 | 224 | 0.6209 | 0.3583 | 0.3738 | |
|
| 0.0148 | 9.0 | 252 | 0.6625 | 0.3477 | 0.3689 | |
|
| 0.0087 | 10.0 | 280 | 0.6602 | 0.3412 | 0.3578 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.4 |
|
- Tokenizers 0.13.3 |
|
|
