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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: openai/whisper-medium |
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tags: |
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- generated_from_trainer |
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datasets: |
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- deepinfinityai/30_NLEM_Aug_audios_dataset |
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metrics: |
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- wer |
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model-index: |
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- name: v04_30_NLEM_Aug_Tablets_Model |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: /30_NLEM_Aug_audios_dataset |
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type: deepinfinityai/30_NLEM_Aug_audios_dataset |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.0 |
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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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# v04_30_NLEM_Aug_Tablets_Model |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the /30_NLEM_Aug_audios_dataset dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0001 |
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- Wer: 0.0 |
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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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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 10 |
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- training_steps: 218 |
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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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| 2.7877 | 1.0 | 44 | 7.8985 | 100.0 | |
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| 0.1978 | 2.0 | 88 | 0.0365 | 5.7143 | |
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| 0.0026 | 3.0 | 132 | 0.0002 | 0.0 | |
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| 0.0001 | 4.0 | 176 | 0.0001 | 0.0 | |
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### Framework versions |
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- Transformers 4.50.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.0 |
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