license: apache-2.0 | |
base_model: openai/whisper-tiny | |
tags: | |
- generated_from_trainer | |
metrics: | |
- wer | |
model-index: | |
- name: whisper-tiny-en | |
results: [] | |
<!-- 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 | |
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.4317 | |
- Wer Ortho: 0.3226 | |
- Wer: 0.3235 | |
## 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: 1 | |
- eval_batch_size: 1 | |
- 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: 445 | |
- mixed_precision_training: Native AMP | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | | |
|:-------------:|:------:|:----:|:---------------:|:---------:|:------:| | |
| 0.3756 | 0.3371 | 150 | 0.4822 | 0.3492 | 0.3512 | | |
| 0.4808 | 0.6742 | 300 | 0.4317 | 0.3226 | 0.3235 | | |
### Framework versions | |
- Transformers 4.44.0 | |
- Pytorch 2.1.1+cu118 | |
- Datasets 2.20.0 | |
- Tokenizers 0.19.1 | |