metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: mst_1
results: []
mst_1
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0038
- Wer: 0.9915
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: 8
- 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: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 11.0362 | 1.15 | 500 | 2.7219 | 1.0 |
| 1.9536 | 2.29 | 1000 | 0.5060 | 2.0274 |
| 0.2347 | 3.44 | 1500 | 0.0268 | 1.0462 |
| 0.0633 | 4.59 | 2000 | 0.0078 | 1.0 |
| 0.0359 | 5.73 | 2500 | 0.0047 | 0.9949 |
| 0.014 | 6.88 | 3000 | 0.0038 | 0.9915 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.13.1+cu116
- Datasets 1.18.3
- Tokenizers 0.13.2