|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper-base.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-base.en |
|
|
|
This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0027 |
|
- Wer: 2.0414 |
|
|
|
## 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: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 500 |
|
- training_steps: 3500 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
| 0.3217 | 1.62 | 500 | 0.2442 | 10.2872 | |
|
| 0.0874 | 3.25 | 1000 | 0.0774 | 5.5339 | |
|
| 0.0459 | 4.87 | 1500 | 0.0268 | 3.3624 | |
|
| 0.012 | 6.49 | 2000 | 0.0094 | 2.7119 | |
|
| 0.0041 | 8.12 | 2500 | 0.0041 | 2.1115 | |
|
| 0.0035 | 9.74 | 3000 | 0.0030 | 2.1315 | |
|
| 0.0036 | 11.36 | 3500 | 0.0027 | 2.0414 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.28.0.dev0 |
|
- Pytorch 1.13.1+cu116 |
|
- Datasets 2.11.0 |
|
- Tokenizers 0.13.2 |
|
|
