| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - wer | |
| model-index: | |
| - name: whisper-NST-TPU-test2 | |
| 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-NST-TPU-test2 | |
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 4.9943 | |
| - Wer: 100.0 | |
| ## 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: 2e-05 | |
| - train_batch_size: 16 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - distributed_type: tpu | |
| - num_devices: 4 | |
| - total_train_batch_size: 64 | |
| - total_eval_batch_size: 32 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - training_steps: 2 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Wer | | |
| |:-------------:|:-----:|:----:|:---------------:|:-----:| | |
| | 5.535 | 1.0 | 2 | 4.9943 | 100.0 | | |
| ### Framework versions | |
| - Transformers 4.24.0 | |
| - Pytorch 1.13.0+cu117 | |
| - Datasets 2.6.1 | |
| - Tokenizers 0.13.1 | |