|
|
--- |
|
|
license: apache-2.0 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- wer |
|
|
base_model: openai/whisper-small |
|
|
model-index: |
|
|
- name: whisper_final |
|
|
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_final |
|
|
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 3.1551 |
|
|
- Wer: 20.6174 |
|
|
|
|
|
## 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-07 |
|
|
- train_batch_size: 8 |
|
|
- eval_batch_size: 8 |
|
|
- seed: 42 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: linear |
|
|
- lr_scheduler_warmup_steps: 10 |
|
|
- num_epochs: 1 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
|
| 4.2932 | 0.09 | 10 | 4.6306 | 16.0442 | |
|
|
| 4.2744 | 0.18 | 20 | 4.1942 | 16.2348 | |
|
|
| 3.7418 | 0.27 | 30 | 3.7625 | 15.5107 | |
|
|
| 3.2037 | 0.36 | 40 | 3.5635 | 14.6723 | |
|
|
| 3.4714 | 0.45 | 50 | 3.4383 | 14.3674 | |
|
|
| 2.8962 | 0.55 | 60 | 3.3494 | 14.1768 | |
|
|
| 2.7958 | 0.64 | 70 | 3.2752 | 18.2927 | |
|
|
| 2.8691 | 0.73 | 80 | 3.2208 | 19.5884 | |
|
|
| 2.8693 | 0.82 | 90 | 3.1857 | 20.6174 | |
|
|
| 2.9474 | 0.91 | 100 | 3.1644 | 20.6555 | |
|
|
| 3.1712 | 1.0 | 110 | 3.1551 | 20.6174 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.38.0.dev0 |
|
|
- Pytorch 2.1.0+cu121 |
|
|
- Datasets 2.16.1 |
|
|
- Tokenizers 0.15.1 |
|
|
|
