| | --- |
| | language: |
| | - en |
| | license: apache-2.0 |
| | base_model: Hanhpt23/whisper-tiny-smmmu |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: Hanhpt23/whisper-tiny-smmmu |
| | 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. --> |
| |
|
| | # Hanhpt23/whisper-tiny-smmmu |
| |
|
| | This model is a fine-tuned version of [Hanhpt23/whisper-tiny-smmmu](https://huggingface.co/Hanhpt23/whisper-tiny-smmmu) on the Hanhpt23/SLISA dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0002 |
| | - Wer: 0.0 |
| |
|
| | ## 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: 8 |
| | - 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: 100 |
| | - num_epochs: 10 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | | 0.0873 | 1.0 | 30 | 0.0128 | 0.2480 | |
| | | 0.0156 | 2.0 | 60 | 0.0052 | 3.2398 | |
| | | 0.0062 | 3.0 | 90 | 0.0070 | 0.1705 | |
| | | 0.0101 | 4.0 | 120 | 0.0349 | 2.4027 | |
| | | 0.0251 | 5.0 | 150 | 0.0085 | 0.2325 | |
| | | 0.0124 | 6.0 | 180 | 0.0091 | 0.1860 | |
| | | 0.016 | 7.0 | 210 | 0.0031 | 0.0465 | |
| | | 0.0039 | 8.0 | 240 | 0.0020 | 0.0465 | |
| | | 0.0044 | 9.0 | 270 | 0.0003 | 0.0155 | |
| | | 0.0003 | 10.0 | 300 | 0.0002 | 0.0 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.41.1 |
| | - Pytorch 2.3.0 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.19.1 |
| | |
