| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - wer | |
| model-index: | |
| - name: whisper-tiny-hi2_test | |
| 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. --> | |
| # whisper-tiny-hi2_test | |
| This model was trained from scratch on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.6505 | |
| - Wer: 69.9890 | |
| ## 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: 1e-05 | |
| - train_batch_size: 32 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - training_steps: 200 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Wer | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| | |
| | 1.2169 | 1.25 | 40 | 1.0360 | 91.6081 | | |
| | 0.7302 | 2.5 | 80 | 0.7369 | 79.8035 | | |
| | 0.5917 | 3.75 | 120 | 0.6505 | 69.9890 | | |
| | 0.5156 | 5.0 | 160 | 0.6157 | 70.4293 | | |
| | 0.481 | 6.25 | 200 | 0.6051 | 70.0398 | | |
| ### Framework versions | |
| - Transformers 4.41.1 | |
| - Pytorch 2.3.1+cu121 | |
| - Datasets 2.19.1 | |
| - Tokenizers 0.19.1 | |