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--- |
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library_name: peft |
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language: |
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- it |
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base_model: b-brave/asr_double_training_15-10-2024_merged |
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tags: |
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- generated_from_trainer |
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datasets: |
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- ASR_BB_and_EC |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Medium |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: ASR_BB_and_EC |
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type: ASR_BB_and_EC |
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config: default |
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split: test |
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args: default |
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metrics: |
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- type: wer |
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value: 36.18339529120198 |
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name: Wer |
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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 Medium |
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This model is a fine-tuned version of [b-brave/asr_double_training_15-10-2024_merged](https://huggingface.co/b-brave/asr_double_training_15-10-2024_merged) on the ASR_BB_and_EC dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4690 |
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- Wer: 36.1834 |
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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-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 5 |
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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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| 0.9758 | 0.5464 | 50 | 0.4882 | 36.5551 | |
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| 0.81 | 1.0929 | 100 | 0.4839 | 36.5551 | |
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| 0.8005 | 1.6393 | 150 | 0.4808 | 36.4312 | |
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| 0.8837 | 2.1858 | 200 | 0.4782 | 35.8116 | |
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| 0.8172 | 2.7322 | 250 | 0.4760 | 35.8116 | |
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| 0.7142 | 3.2787 | 300 | 0.4742 | 35.9356 | |
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| 0.7817 | 3.8251 | 350 | 0.4724 | 35.9356 | |
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| 0.8025 | 4.3716 | 400 | 0.4707 | 36.0595 | |
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| 0.782 | 4.9180 | 450 | 0.4690 | 36.1834 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.45.2 |
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- Pytorch 2.2.0 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
