metadata
base_model: microsoft/wavlm-base-plus
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: wavlm_handcrafted_feat3
results: []
wavlm_handcrafted_feat3
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: 0.6121
- F1: 0.7785
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 | F1 |
|---|---|---|---|---|
| 0.5362 | 1.0 | 3777 | 0.6599 | 0.7557 |
| 0.485 | 2.0 | 7555 | 0.6121 | 0.7785 |
| 0.5009 | 3.0 | 11331 | 0.6301 | 0.7743 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2