| | --- |
| | base_model: facebook/hubert-base-ls960 |
| | license: apache-2.0 |
| | metrics: |
| | - wer |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: hubert1 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # hubert1 |
| |
|
| | This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/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 |
| | |
