wavLM-base-UTCN_114k
This model is a fine-tuned version of microsoft/wavLM-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2510
- Accuracy: 0.9693
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 |
|---|---|---|---|---|
| 0.0003 | 1.0 | 3587 | 0.2007 | 0.9656 |
| 0.0001 | 2.0 | 7174 | 0.4933 | 0.9359 |
| 0.0001 | 3.0 | 10761 | 0.4020 | 0.9433 |
| 0.0205 | 4.0 | 14348 | 0.2510 | 0.9693 |
| 0.0003 | 5.0 | 17935 | 0.6599 | 0.9196 |
Framework versions
- Transformers 4.30.0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3
- Downloads last month
- 63
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.