metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: w2v2-base-pretrained_lr1e-4_at0.8_da0.9
results: []
w2v2-base-pretrained_lr1e-4_at0.8_da0.9
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2030
- Wer: 0.1756
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
- training_steps: 3500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 15.3627 | 6.1 | 250 | 3.8053 | 1.0 |
| 3.1688 | 12.2 | 500 | 3.1948 | 1.0 |
| 2.7881 | 18.29 | 750 | 1.6319 | 1.0047 |
| 0.3364 | 24.39 | 1000 | 0.9451 | 0.2704 |
| 0.1193 | 30.49 | 1250 | 1.3362 | 0.2089 |
| 0.0741 | 36.59 | 1500 | 1.8263 | 0.1914 |
| 0.0511 | 42.68 | 1750 | 1.8832 | 0.1747 |
| 0.0369 | 48.78 | 2000 | 1.9675 | 0.1794 |
| 0.0256 | 54.88 | 2250 | 2.2933 | 0.1820 |
| 0.0194 | 60.98 | 2500 | 2.3546 | 0.1875 |
| 0.0151 | 67.07 | 2750 | 2.3144 | 0.1773 |
| 0.0126 | 73.17 | 3000 | 2.1852 | 0.1713 |
| 0.0104 | 79.27 | 3250 | 2.2503 | 0.1756 |
| 0.0095 | 85.37 | 3500 | 2.2030 | 0.1756 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1