|
--- |
|
library_name: transformers |
|
license: apache-2.0 |
|
base_model: openai/whisper-large-v3 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: ap-fEz97qWiEaKtCs943k0PtZ |
|
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. --> |
|
|
|
# ap-fEz97qWiEaKtCs943k0PtZ |
|
|
|
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.7453 |
|
- Model Preparation Time: 0.0212 |
|
- Wer: 0.2339 |
|
|
|
## 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: 0.0003 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 64 |
|
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 400 |
|
- num_epochs: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Wer | |
|
|:-------------:|:------:|:----:|:---------------:|:----------------------:|:------:| |
|
| 0.2538 | 0.9791 | 41 | 0.2886 | 0.0212 | 0.1134 | |
|
| 0.1828 | 1.9791 | 82 | 0.3033 | 0.0212 | 0.1182 | |
|
| 0.1233 | 2.9791 | 123 | 0.3724 | 0.0212 | 0.1248 | |
|
| 0.1182 | 3.9791 | 164 | 0.4213 | 0.0212 | 0.1399 | |
|
| 0.1181 | 4.9791 | 205 | 0.4813 | 0.0212 | 0.1417 | |
|
| 0.1273 | 5.9791 | 246 | 0.5741 | 0.0212 | 0.1553 | |
|
| 0.1237 | 6.9791 | 287 | 0.6128 | 0.0212 | 0.1759 | |
|
| 0.1176 | 7.9791 | 328 | 0.6665 | 0.0212 | 0.1823 | |
|
| 0.1076 | 8.9791 | 369 | 0.7048 | 0.0212 | 0.1929 | |
|
| 0.1357 | 9.9791 | 410 | 0.7453 | 0.0212 | 0.2339 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.48.3 |
|
- Pytorch 2.5.1+cu124 |
|
- Datasets 3.2.0 |
|
- Tokenizers 0.21.0 |
|
|
