metadata
base_model: microsoft/wavlm-base-plus
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wavlm-both
results: []
wavlm-both
This model is a fine-tuned version of microsoft/wavlm-base-plus on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7733
- Accuracy: 0.8829
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0804 | 1.0 | 13 | 0.9762 | 0.7428 |
| 0.9797 | 2.0 | 26 | 0.8233 | 0.8816 |
| 0.8876 | 3.0 | 39 | 0.7733 | 0.8829 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2