metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: w2v2-base-pretrained_lr5e-5_at0.5_da1
results: []
w2v2-base-pretrained_lr5e-5_at0.5_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: 1.6472
- Wer: 0.1786
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 |
|---|---|---|---|---|
| 18.9615 | 4.17 | 250 | 4.3427 | 1.0 |
| 3.3745 | 8.33 | 500 | 3.2218 | 1.0 |
| 3.1073 | 12.5 | 750 | 3.1350 | 1.0 |
| 2.1233 | 16.67 | 1000 | 0.8774 | 0.7915 |
| 0.4649 | 20.83 | 1250 | 0.8879 | 0.3691 |
| 0.2435 | 25.0 | 1500 | 0.8832 | 0.2119 |
| 0.1677 | 29.17 | 1750 | 1.2547 | 0.1871 |
| 0.1148 | 33.33 | 2000 | 1.3004 | 0.1786 |
| 0.0904 | 37.5 | 2250 | 1.2741 | 0.1995 |
| 0.0732 | 41.67 | 2500 | 1.4082 | 0.1747 |
| 0.0613 | 45.83 | 2750 | 1.5234 | 0.1824 |
| 0.0536 | 50.0 | 3000 | 1.4060 | 0.1798 |
| 0.046 | 54.17 | 3250 | 1.5669 | 0.1833 |
| 0.0441 | 58.33 | 3500 | 1.5661 | 0.1807 |
| 0.0392 | 62.5 | 3750 | 1.6374 | 0.1790 |
| 0.0384 | 66.67 | 4000 | 1.6472 | 0.1786 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1