metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-large-xls-r-300m-dm32
results: []
wav2vec2-large-xls-r-300m-dm32
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: 0.5208
- Accuracy: 0.7292
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 22
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 2.41 | 34 | 0.6848 | 0.5833 |
| No log | 4.83 | 68 | 0.6879 | 0.5833 |
| No log | 7.28 | 102 | 0.6892 | 0.6042 |
| 0.7202 | 9.69 | 136 | 0.6809 | 0.5833 |
| 0.7202 | 12.14 | 170 | 0.6712 | 0.6042 |
| 0.7202 | 14.55 | 204 | 0.5907 | 0.7708 |
| 0.6991 | 16.97 | 238 | 0.7485 | 0.6875 |
| 0.6991 | 19.41 | 272 | 0.5756 | 0.7083 |
| 0.6991 | 21.83 | 306 | 0.5208 | 0.7292 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0