| | --- |
| | base_model: openai/whisper-base |
| | library_name: peft |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: whisper-base-akan-v1 |
| | 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-base-akan-v1 |
| |
|
| | This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.0715 |
| |
|
| | ## 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: 5e-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: 50 |
| | - training_steps: 3000 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 1.8659 | 5.0 | 250 | 1.6244 | |
| | | 1.2252 | 10.0 | 500 | 1.3473 | |
| | | 1.0708 | 15.0 | 750 | 1.2260 | |
| | | 0.922 | 20.0 | 1000 | 1.1617 | |
| | | 0.8532 | 25.0 | 1250 | 1.1217 | |
| | | 0.7747 | 30.0 | 1500 | 1.0973 | |
| | | 0.7356 | 35.0 | 1750 | 1.0864 | |
| | | 0.6894 | 40.0 | 2000 | 1.0767 | |
| | | 0.6671 | 45.0 | 2250 | 1.0746 | |
| | | 0.642 | 50.0 | 2500 | 1.0719 | |
| | | 0.6306 | 55.0 | 2750 | 1.0707 | |
| | | 0.6225 | 60.0 | 3000 | 1.0715 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.13.2.dev0 |
| | - Transformers 4.44.2 |
| | - Pytorch 2.4.1+cu121 |
| | - Datasets 3.0.1 |
| | - Tokenizers 0.19.1 |
