metadata
base_model: facebook/hubert-base-ls960
license: apache-2.0
metrics:
- wer
tags:
- generated_from_trainer
model-index:
- name: hubert1
results: []
hubert1
This model is a fine-tuned version of facebook/hubert-base-ls960 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.5840
- 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: 4
- 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: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 8.3756 | 0.6821 | 500 | 5.6168 | 1.0 |
| 4.8753 | 1.3643 | 1000 | 3.5609 | 1.0 |
| 4.1974 | 2.0464 | 1500 | 3.5191 | 1.0 |
| 3.9847 | 2.7285 | 2000 | 3.5168 | 1.0 |
| 3.9535 | 3.4106 | 2500 | 3.6024 | 1.0 |
| 3.8797 | 4.0928 | 3000 | 3.4174 | 1.0 |
| 3.935 | 4.7749 | 3500 | 3.5542 | 1.0 |
| 3.7183 | 5.4570 | 4000 | 3.5183 | 1.0 |
| 3.7562 | 6.1392 | 4500 | 3.5689 | 1.0 |
| 3.7423 | 6.8213 | 5000 | 3.5840 | 1.0 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1