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--- |
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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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metrics: |
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- wer |
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model-index: |
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- name: whisper-med-LoRA_FAA_data_small |
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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-med-LoRA_FAA_data_small |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.4632 |
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- Wer: 56.9444 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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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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- num_epochs: 10 |
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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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| 4.4359 | 1.0 | 1 | 4.5014 | 56.9444 | |
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| 4.4359 | 2.0 | 2 | 4.5014 | 56.9444 | |
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| 4.4359 | 3.0 | 3 | 4.5496 | 56.9444 | |
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| 4.458 | 4.0 | 4 | 4.5496 | 56.9444 | |
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| 4.4576 | 5.0 | 5 | 4.5439 | 56.9444 | |
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| 4.4411 | 6.0 | 6 | 4.4745 | 56.9444 | |
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| 4.4139 | 7.0 | 7 | 4.4745 | 56.9444 | |
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| 4.4166 | 8.0 | 8 | 4.4745 | 56.9444 | |
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| 4.4181 | 9.0 | 9 | 4.4722 | 56.9444 | |
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| 4.379 | 10.0 | 10 | 4.4632 | 56.9444 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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