metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: model_wav2vec_
results: []
model_wav2vec_
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: 0.4608
- Wer: 0.3361
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: 16
- 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 |
|---|---|---|---|---|
| 3.5101 | 2.01 | 500 | 1.6030 | 1.0221 |
| 0.7158 | 4.02 | 1000 | 0.4599 | 0.4587 |
| 0.2914 | 6.02 | 1500 | 0.4092 | 0.4037 |
| 0.1906 | 8.03 | 2000 | 0.3927 | 0.3865 |
| 0.1328 | 10.04 | 2500 | 0.4067 | 0.3810 |
| 0.1122 | 12.05 | 3000 | 0.4128 | 0.3645 |
| 0.0954 | 14.06 | 3500 | 0.4469 | 0.3621 |
| 0.0754 | 16.06 | 4000 | 0.4296 | 0.3639 |
| 0.0589 | 18.07 | 4500 | 0.4434 | 0.3567 |
| 0.0497 | 20.08 | 5000 | 0.4597 | 0.3535 |
| 0.0455 | 22.09 | 5500 | 0.4854 | 0.3454 |
| 0.0395 | 24.1 | 6000 | 0.4615 | 0.3435 |
| 0.0328 | 26.1 | 6500 | 0.4714 | 0.3396 |
| 0.0284 | 28.11 | 7000 | 0.4608 | 0.3361 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 1.18.3
- Tokenizers 0.15.0