metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: w2v2-base-pretrained_lr5e-5_at1_da1
results: []
w2v2-base-pretrained_lr5e-5_at1_da1
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: 2.3753
- Wer: 0.1837
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: 5e-05
- 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: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 18.9508 | 6.1 | 250 | 4.5541 | 1.0 |
| 3.4223 | 12.2 | 500 | 3.2365 | 1.0 |
| 3.1022 | 18.29 | 750 | 3.1107 | 1.0 |
| 2.0891 | 24.39 | 1000 | 1.2943 | 0.4930 |
| 0.2477 | 30.49 | 1250 | 1.4675 | 0.2208 |
| 0.1323 | 36.59 | 1500 | 1.8152 | 0.2067 |
| 0.0908 | 42.68 | 1750 | 1.8821 | 0.1931 |
| 0.0721 | 48.78 | 2000 | 2.1984 | 0.2008 |
| 0.0584 | 54.88 | 2250 | 2.0544 | 0.1927 |
| 0.0483 | 60.98 | 2500 | 2.0092 | 0.1845 |
| 0.0437 | 67.07 | 2750 | 2.1545 | 0.1837 |
| 0.0347 | 73.17 | 3000 | 2.3775 | 0.1918 |
| 0.0331 | 79.27 | 3250 | 2.4051 | 0.1880 |
| 0.0302 | 85.37 | 3500 | 2.3556 | 0.1790 |
| 0.0279 | 91.46 | 3750 | 2.3822 | 0.1858 |
| 0.026 | 97.56 | 4000 | 2.3753 | 0.1837 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1