|
--- |
|
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: 0.5089 |
|
- Wer: 31.4721 |
|
|
|
## 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: 3e-05 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 16 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 200 |
|
- training_steps: 1000 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:------:|:----:|:---------------:|:-------:| |
|
| 0.4475 | 10.53 | 100 | 0.6788 | 20.5584 | |
|
| 0.0166 | 21.05 | 200 | 0.4262 | 19.2893 | |
|
| 0.0005 | 31.58 | 300 | 0.4534 | 22.8426 | |
|
| 0.0003 | 42.11 | 400 | 0.4673 | 68.7817 | |
|
| 0.0002 | 52.63 | 500 | 0.4806 | 72.5888 | |
|
| 0.0002 | 63.16 | 600 | 0.4908 | 72.3350 | |
|
| 0.0001 | 73.68 | 700 | 0.4987 | 31.4721 | |
|
| 0.0001 | 84.21 | 800 | 0.5045 | 31.4721 | |
|
| 0.0001 | 94.74 | 900 | 0.5078 | 31.4721 | |
|
| 0.0001 | 105.26 | 1000 | 0.5089 | 31.4721 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.14.1 |
|
|
