license: apache-2.0 | |
base_model: openai/whisper-tiny | |
tags: | |
- generated_from_trainer | |
datasets: | |
- PolyAI/minds14 | |
metrics: | |
- wer | |
model-index: | |
- name: whisper-tiny-dv | |
results: | |
- task: | |
name: Automatic Speech Recognition | |
type: automatic-speech-recognition | |
dataset: | |
name: PolyAI/minds14 | |
type: PolyAI/minds14 | |
metrics: | |
- name: Wer | |
type: wer | |
value: 40.95490716180371 | |
<!-- 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-dv | |
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: 0.5697 | |
- Wer Ortho: 41.3869 | |
- Wer: 40.9549 | |
## 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 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | | |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:| | |
| 1.0826 | 1.02 | 500 | 0.5697 | 41.3869 | 40.9549 | | |
### Framework versions | |
- Transformers 4.31.0 | |
- Pytorch 2.0.1+cu118 | |
- Tokenizers 0.13.3 | |