metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: ''
results: []
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.4164
- Wer: 0.3098
- Cer: 0.0764
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: 0.0005
- train_batch_size: 64
- 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: 500
- num_epochs: 100.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.6356 | 9.09 | 500 | 0.5055 | 0.5536 | 0.1381 |
| 0.3847 | 18.18 | 1000 | 0.4002 | 0.4247 | 0.1065 |
| 0.3377 | 27.27 | 1500 | 0.4193 | 0.4167 | 0.1078 |
| 0.2175 | 36.36 | 2000 | 0.4351 | 0.3861 | 0.0974 |
| 0.2074 | 45.45 | 2500 | 0.3962 | 0.3622 | 0.0916 |
| 0.159 | 54.55 | 3000 | 0.4062 | 0.3526 | 0.0888 |
| 0.1882 | 63.64 | 3500 | 0.3991 | 0.3445 | 0.0850 |
| 0.1766 | 72.73 | 4000 | 0.4214 | 0.3396 | 0.0847 |
| 0.116 | 81.82 | 4500 | 0.4182 | 0.3265 | 0.0812 |
| 0.0718 | 90.91 | 5000 | 0.4259 | 0.3191 | 0.0781 |
| 0.019 | 100.0 | 5500 | 0.4164 | 0.3098 | 0.0764 |
Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2.dev0
- Tokenizers 0.11.0