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--- |
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language: |
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- hr |
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license: apache-2.0 |
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base_model: openai/whisper-large-v3 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-large-v3-mici-princ |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# whisper-large-v3-mici-princ |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Mići Princ dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4596 |
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- Wer: 33.5008 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 3090 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:-------:| |
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| 0.0013 | 17.66 | 309 | 1.1495 | 37.1859 | |
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| 0.0009 | 35.31 | 618 | 1.1700 | 27.3032 | |
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| 0.0001 | 52.97 | 927 | 1.3428 | 27.7219 | |
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| 0.0001 | 70.63 | 1236 | 1.3874 | 27.2194 | |
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| 0.0001 | 88.29 | 1545 | 1.4141 | 27.3869 | |
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| 0.0001 | 105.94 | 1854 | 1.4331 | 33.5008 | |
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| 0.0001 | 123.6 | 2163 | 1.4445 | 33.3333 | |
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| 0.0 | 141.26 | 2472 | 1.4520 | 33.3333 | |
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| 0.0 | 158.91 | 2781 | 1.4576 | 33.3333 | |
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| 0.0 | 176.57 | 3090 | 1.4596 | 33.5008 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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