|
--- |
|
library_name: transformers |
|
license: apache-2.0 |
|
base_model: openai/whisper-tiny |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- PolyAI/minds14 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper-tiny-en-US |
|
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: 0.34887839433293977 |
|
--- |
|
|
|
<!-- 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 |
|
|
|
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: 0.6638 |
|
- Wer Ortho: 34.5466 |
|
- Wer: 0.3489 |
|
|
|
## 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 | |
|
|:-------------:|:-------:|:----:|:---------------:|:---------:|:------:| |
|
| 0.7657 | 1.7857 | 50 | 0.5870 | 39.4818 | 0.3932 | |
|
| 0.2562 | 3.5714 | 100 | 0.4866 | 34.8550 | 0.3483 | |
|
| 0.0666 | 5.3571 | 150 | 0.5190 | 34.5466 | 0.3489 | |
|
| 0.0228 | 7.1429 | 200 | 0.5649 | 32.4491 | 0.3288 | |
|
| 0.0065 | 8.9286 | 250 | 0.5845 | 32.0173 | 0.3229 | |
|
| 0.0018 | 10.7143 | 300 | 0.6142 | 33.6212 | 0.3400 | |
|
| 0.0012 | 12.5 | 350 | 0.6320 | 33.3128 | 0.3371 | |
|
| 0.0008 | 14.2857 | 400 | 0.6443 | 34.1764 | 0.3465 | |
|
| 0.0007 | 16.0714 | 450 | 0.6548 | 34.2381 | 0.3447 | |
|
| 0.0007 | 17.8571 | 500 | 0.6638 | 34.5466 | 0.3489 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.2 |
|
- Pytorch 2.4.1+cu121 |
|
- Datasets 3.0.0 |
|
- Tokenizers 0.19.1 |
|
|
