|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: English-3 |
|
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. --> |
|
|
|
# English-3 |
|
|
|
This model is a fine-tuned version of [openai/whisper-small.en](https://huggingface.co/openai/whisper-small.en) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0008 |
|
- Wer: 8.1694 |
|
|
|
## 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-05 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
| No log | 1.0 | 11 | 0.5281 | 37.8215 | |
|
| No log | 2.0 | 22 | 0.1894 | 13.0106 | |
|
| No log | 3.0 | 33 | 0.1160 | 36.7625 | |
|
| No log | 4.0 | 44 | 0.0543 | 10.5900 | |
|
| No log | 5.0 | 55 | 0.0576 | 12.8593 | |
|
| No log | 6.0 | 66 | 0.0509 | 8.3207 | |
|
| No log | 7.0 | 77 | 0.0121 | 7.5643 | |
|
| No log | 8.0 | 88 | 0.0025 | 7.5643 | |
|
| No log | 9.0 | 99 | 0.0010 | 8.1694 | |
|
| No log | 10.0 | 110 | 0.0008 | 8.1694 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.30.0.dev0 |
|
- Pytorch 2.1.0+cu118 |
|
- Datasets 2.15.0 |
|
- Tokenizers 0.13.3 |
|
|
