|
--- |
|
license: apache-2.0 |
|
base_model: facebook/wav2vec2-base |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: wav2vec2-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. --> |
|
|
|
# wav2vec2-base-timit-demo-colab |
|
|
|
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co./facebook/wav2vec2-base) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4749 |
|
- Wer: 0.3444 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 3.4101 | 4.0 | 500 | 1.2556 | 0.8153 | |
|
| 0.5754 | 8.0 | 1000 | 0.4622 | 0.4482 | |
|
| 0.2285 | 12.0 | 1500 | 0.4479 | 0.3860 | |
|
| 0.1342 | 16.0 | 2000 | 0.4714 | 0.3652 | |
|
| 0.0871 | 20.0 | 2500 | 0.4859 | 0.3581 | |
|
| 0.0644 | 24.0 | 3000 | 0.4489 | 0.3485 | |
|
| 0.0485 | 28.0 | 3500 | 0.4749 | 0.3444 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- Pytorch 2.1.0+cu118 |
|
- Datasets 1.18.3 |
|
- Tokenizers 0.15.0 |
|
|
