| --- |
| language: |
| - hr |
| license: apache-2.0 |
| base_model: openai/whisper-large-v3 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: whisper-large-v3-mici-princ |
| 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-large-v3-mici-princ |
|
|
| This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Mići Princ dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.4596 |
| - Wer: 33.5008 |
|
|
| ## 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: 4 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 16 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 100 |
| - training_steps: 3090 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:------:|:----:|:---------------:|:-------:| |
| | 0.0013 | 17.66 | 309 | 1.1495 | 37.1859 | |
| | 0.0009 | 35.31 | 618 | 1.1700 | 27.3032 | |
| | 0.0001 | 52.97 | 927 | 1.3428 | 27.7219 | |
| | 0.0001 | 70.63 | 1236 | 1.3874 | 27.2194 | |
| | 0.0001 | 88.29 | 1545 | 1.4141 | 27.3869 | |
| | 0.0001 | 105.94 | 1854 | 1.4331 | 33.5008 | |
| | 0.0001 | 123.6 | 2163 | 1.4445 | 33.3333 | |
| | 0.0 | 141.26 | 2472 | 1.4520 | 33.3333 | |
| | 0.0 | 158.91 | 2781 | 1.4576 | 33.3333 | |
| | 0.0 | 176.57 | 3090 | 1.4596 | 33.5008 | |
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|
|
| ### Framework versions |
|
|
| - Transformers 4.38.2 |
| - Pytorch 2.0.0+cu117 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
|
|
