|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: addison6 |
|
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. --> |
|
|
|
# addison6 |
|
|
|
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: 1.5365 |
|
- Wer: 0.5065 |
|
|
|
## 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: 8 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 4.4213 | 3.5 | 500 | 2.9159 | 1.0 | |
|
| 1.7942 | 6.99 | 1000 | 1.3946 | 0.7460 | |
|
| 0.9148 | 10.49 | 1500 | 1.3088 | 0.6273 | |
|
| 0.6178 | 13.99 | 2000 | 1.3045 | 0.5690 | |
|
| 0.4443 | 17.48 | 2500 | 1.3874 | 0.5437 | |
|
| 0.3461 | 20.98 | 3000 | 1.4667 | 0.5427 | |
|
| 0.253 | 24.48 | 3500 | 1.5080 | 0.5189 | |
|
| 0.2103 | 27.97 | 4000 | 1.5365 | 0.5065 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.17.0 |
|
- Pytorch 2.0.0+cu118 |
|
- Datasets 1.18.3 |
|
- Tokenizers 0.13.2 |
|
|