| --- |
| base_model: openai/whisper-tiny |
| library_name: peft |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: test |
| 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. --> |
|
|
| # test |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.2527 |
|
|
| ## 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: 0.0001 |
| - train_batch_size: 8 |
| - 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: 2000 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 2.183 | 2.5 | 250 | 1.8650 | |
| | 1.5663 | 5.0 | 500 | 1.5657 | |
| | 1.4027 | 7.5 | 750 | 1.4221 | |
| | 1.2577 | 10.0 | 1000 | 1.3457 | |
| | 1.2005 | 12.5 | 1250 | 1.3022 | |
| | 1.1409 | 15.0 | 1500 | 1.2743 | |
| | 1.1152 | 17.5 | 1750 | 1.2585 | |
| | 1.0965 | 20.0 | 2000 | 1.2527 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.13.1.dev0 |
| - Transformers 4.44.2 |
| - Pytorch 2.4.1+cu121 |
| - Datasets 3.0.1 |
| - Tokenizers 0.19.1 |
