metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: wav2vec2-xls-r-adult-child-cls
results: []
wav2vec2-xls-r-adult-child-cls
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: 0.1851
- Accuracy: 0.9469
- F1: 0.9508
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
0.2906 | 1.0 | 383 | 0.1856 | 0.9372 | 0.9421 |
0.1749 | 2.0 | 766 | 0.1925 | 0.9418 | 0.9465 |
0.1681 | 3.0 | 1149 | 0.1893 | 0.9414 | 0.9459 |
0.1295 | 4.0 | 1532 | 0.1851 | 0.9469 | 0.9508 |
0.2031 | 5.0 | 1915 | 0.1944 | 0.9423 | 0.9460 |
Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.3
- Tokenizers 0.11.0