metadata
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: 1-epochs6.0-char-based-freeze_cnn-dropout0.1
results: []
1-epochs6.0-char-based-freeze_cnn-dropout0.1
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7833
- Wer: 0.4843
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: 2e-05
- train_batch_size: 10
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 40
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.4067 | 0.57 | 2500 | 3.5770 | 1.0 |
| 2.3866 | 1.14 | 5000 | 2.1913 | 1.0236 |
| 1.2369 | 1.7 | 7500 | 1.0121 | 0.6844 |
| 1.3609 | 2.27 | 10000 | 0.9048 | 0.5847 |
| 1.0586 | 2.84 | 12500 | 0.8494 | 0.5447 |
| 0.7728 | 3.41 | 15000 | 0.8188 | 0.5185 |
| 1.0428 | 3.98 | 17500 | 0.7845 | 0.4961 |
| 0.8995 | 4.55 | 20000 | 0.7846 | 0.4884 |
| 0.7284 | 5.11 | 22500 | 0.7877 | 0.4866 |
| 0.7733 | 5.68 | 25000 | 0.7833 | 0.4843 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.14.1