| | --- |
| | license: apache-2.0 |
| | library_name: peft |
| | tags: |
| | - generated_from_trainer |
| | base_model: openai/whisper-large-v2 |
| | datasets: |
| | - audiofolder |
| | model-index: |
| | - name: large-v2-no-bg-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. --> |
| |
|
| | [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/xpertinc/huggingface/runs/4pssklsm) |
| | # large-v2-no-bg-v1 |
| |
|
| | This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the audiofolder dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6263 |
| |
|
| | ## 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-06 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 2 |
| | - total_train_batch_size: 32 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_ratio: 0.01 |
| | - training_steps: 5000 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:---------:|:----:|:---------------:| |
| | | 1.6361 | 142.8571 | 500 | 1.6697 | |
| | | 1.257 | 285.7143 | 1000 | 1.2417 | |
| | | 0.9481 | 428.5714 | 1500 | 0.8995 | |
| | | 0.8397 | 571.4286 | 2000 | 0.8044 | |
| | | 0.7741 | 714.2857 | 2500 | 0.7487 | |
| | | 0.7336 | 857.1429 | 3000 | 0.7035 | |
| | | 0.6932 | 1000.0 | 3500 | 0.6689 | |
| | | 0.6626 | 1142.8571 | 4000 | 0.6449 | |
| | | 0.6501 | 1285.7143 | 4500 | 0.6310 | |
| | | 0.6413 | 1428.5714 | 5000 | 0.6263 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.10.0 |
| | - Transformers 4.41.0.dev0 |
| | - Pytorch 2.2.2+cu121 |
| | - Datasets 2.19.0 |
| | - Tokenizers 0.19.1 |
