|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: hubert-base-timit-demo-colab |
|
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. --> |
|
|
|
# hubert-base-timit-demo-colab |
|
|
|
This model is a fine-tuned version of [facebook/hubert-large-ls960-ft](https://huggingface.co/facebook/hubert-large-ls960-ft) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1092 |
|
- Wer: 0.1728 |
|
|
|
## 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: 0.0001 |
|
- train_batch_size: 32 |
|
- 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: 1000 |
|
- num_epochs: 30 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 5.4664 | 4.0 | 500 | 2.3026 | 0.9866 | |
|
| 0.8171 | 8.0 | 1000 | 0.0980 | 0.1885 | |
|
| 0.2983 | 12.0 | 1500 | 0.0943 | 0.1750 | |
|
| 0.1769 | 16.0 | 2000 | 0.0990 | 0.1737 | |
|
| 0.1823 | 20.0 | 2500 | 0.1068 | 0.1757 | |
|
| 0.0761 | 24.0 | 3000 | 0.1041 | 0.1719 | |
|
| 0.0993 | 28.0 | 3500 | 0.1092 | 0.1728 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.13.0 |
|
- Pytorch 1.10.0+cu111 |
|
- Datasets 1.16.1 |
|
- Tokenizers 0.10.3 |
|
|
