| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: temp |
| | 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. --> |
| |
|
| | # temp |
| |
|
| | This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3525 |
| |
|
| | ## 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: 0.001 |
| | - train_batch_size: 64 |
| | - eval_batch_size: 64 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 50 |
| | - num_epochs: 5 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 0.9321 | 1.0 | 37 | 0.4470 | |
| | | 0.4366 | 2.0 | 74 | 0.3485 | |
| | | 0.284 | 3.0 | 111 | 0.3395 | |
| | | 0.2488 | 4.0 | 148 | 0.3428 | |
| | | 0.1919 | 5.0 | 185 | 0.3525 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.27.0.dev0 |
| | - Pytorch 1.13.1+cu117 |
| | - Datasets 2.4.0 |
| | - Tokenizers 0.12.1 |
| | |
