metadata
base_model: microsoft/wavlm-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wavlm_torgo_0H
results: []
wavlm_torgo_0H
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: 4.2232
- Wer: 1.0
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 35.3869 | 0.1882 | 500 | 5.7758 | 1.0 |
| 4.2078 | 0.3764 | 1000 | 4.3393 | 1.0 |
| 3.9747 | 0.5645 | 1500 | 4.3099 | 1.0 |
| 3.5744 | 0.7527 | 2000 | 4.1995 | 1.0 |
| 3.6577 | 0.9409 | 2500 | 4.2232 | 1.0 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1