metadata
base_model: microsoft/wavlm-base-plus
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wavelm-study
results: []
wavelm-study
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: 0.9409
- Accuracy: 0.6703
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 |
|---|---|---|---|---|
| 1.0868 | 0.96 | 18 | 1.0394 | 0.4626 |
| 1.0008 | 1.97 | 37 | 0.9409 | 0.6703 |
| 0.9182 | 2.88 | 54 | 0.9072 | 0.6645 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.16.1
- Tokenizers 0.15.0