metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: w2v2-base-pretrained_lr5e-5_at0.8_da0.1
results: []
w2v2-base-pretrained_lr5e-5_at0.8_da0.1
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: 4.7430
- Wer: 0.8847
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 |
|---|---|---|---|---|
| 32.6282 | 50.0 | 250 | 4.0044 | 1.0 |
| 3.5474 | 100.0 | 500 | 3.1597 | 1.0 |
| 3.0565 | 150.0 | 750 | 3.0680 | 1.0 |
| 2.8909 | 200.0 | 1000 | 3.0005 | 1.0 |
| 2.292 | 250.0 | 1250 | 2.6442 | 0.9991 |
| 1.2329 | 300.0 | 1500 | 2.9696 | 0.9577 |
| 0.6684 | 350.0 | 1750 | 3.4034 | 0.9453 |
| 0.4377 | 400.0 | 2000 | 3.7834 | 0.9389 |
| 0.3292 | 450.0 | 2250 | 3.9480 | 0.9000 |
| 0.2554 | 500.0 | 2500 | 4.3241 | 0.8906 |
| 0.2073 | 550.0 | 2750 | 4.4139 | 0.9047 |
| 0.1762 | 600.0 | 3000 | 4.5423 | 0.9000 |
| 0.1551 | 650.0 | 3250 | 4.5978 | 0.8817 |
| 0.1403 | 700.0 | 3500 | 4.6304 | 0.8757 |
| 0.1286 | 750.0 | 3750 | 4.6839 | 0.8855 |
| 0.1201 | 800.0 | 4000 | 4.7430 | 0.8847 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1