| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| base_model: openai/whisper-tiny | |
| model-index: | |
| - name: tiny_test1 | |
| 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. --> | |
| # tiny_test1 | |
| This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.0436 | |
| - Cer: 30.9792 | |
| ## 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: 16 | |
| - 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: 500 | |
| - training_steps: 4000 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Cer | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| | |
| | 0.3366 | 5.59 | 1000 | 0.8486 | 32.4585 | | |
| | 0.0591 | 11.17 | 2000 | 0.9387 | 30.4734 | | |
| | 0.0145 | 16.76 | 3000 | 1.0169 | 30.4925 | | |
| | 0.0086 | 22.35 | 4000 | 1.0436 | 30.9792 | | |
| ### Framework versions | |
| - Transformers 4.38.2 | |
| - Pytorch 2.0.0 | |
| - Datasets 2.18.0 | |
| - Tokenizers 0.15.2 | |