| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: mst_hp5 |
| 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. --> |
|
|
| # mst_hp5 |
| |
| This model is a fine-tuned version of [Sjdan/mst_1](https://huggingface.co/Sjdan/mst_1) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0318 |
| - Wer: 1.3707 |
| |
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 3.6474 | 0.68 | 500 | 0.9410 | 2.2056 | |
| | 0.861 | 1.36 | 1000 | 0.2756 | 1.7009 | |
| | 0.4965 | 2.04 | 1500 | 0.1673 | 1.8972 | |
| | 0.2657 | 2.72 | 2000 | 0.1216 | 1.8785 | |
| | 0.204 | 3.41 | 2500 | 0.0882 | 1.4424 | |
| | 0.1388 | 4.09 | 3000 | 0.0453 | 1.6636 | |
| | 0.1099 | 4.77 | 3500 | 0.0408 | 1.4953 | |
| | 0.0673 | 5.45 | 4000 | 0.0402 | 1.5452 | |
| | 0.0585 | 6.13 | 4500 | 0.0422 | 1.3863 | |
| | 0.036 | 6.81 | 5000 | 0.0318 | 1.3707 | |
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|
|
| ### Framework versions |
|
|
| - Transformers 4.17.0 |
| - Pytorch 1.13.1+cu116 |
| - Datasets 1.18.3 |
| - Tokenizers 0.13.2 |
|
|
