| | --- |
| | license: apache-2.0 |
| | base_model: openai/whisper-medium |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: nectar_aihub_model_10000steps |
| | 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. --> |
| |
|
| | # nectar_aihub_model_10000steps |
| | |
| | This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1407 |
| | - Cer: 10.7869 |
| | |
| | ## 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: 10000 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Cer | |
| | |:-------------:|:------:|:-----:|:---------------:|:-------:| |
| | | 0.2001 | 0.1743 | 2000 | 0.1952 | 13.8677 | |
| | | 0.1786 | 0.3486 | 4000 | 0.1752 | 11.6286 | |
| | | 0.1438 | 0.5229 | 6000 | 0.1595 | 11.4573 | |
| | | 0.1521 | 0.6972 | 8000 | 0.1470 | 10.8939 | |
| | | 0.1396 | 0.8715 | 10000 | 0.1407 | 10.7869 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.41.2 |
| | - Pytorch 2.2.2+cu121 |
| | - Datasets 2.19.2 |
| | - Tokenizers 0.19.1 |
| |
|
