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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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model-index: |
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- name: MAScIR_elderly_whisper-medium-LoRA-data-augmented |
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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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# MAScIR_elderly_whisper-medium-LoRA-data-augmented |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0358 |
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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: 0.001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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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- lr_scheduler_warmup_steps: 200 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.8119 | 0.09 | 100 | 0.2422 | |
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| 0.7907 | 0.19 | 200 | 0.2357 | |
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| 0.6762 | 0.28 | 300 | 0.2311 | |
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| 0.7081 | 0.38 | 400 | 0.2256 | |
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| 0.5623 | 0.47 | 500 | 0.1946 | |
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| 0.569 | 0.57 | 600 | 0.1697 | |
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| 9.0833 | 0.66 | 700 | 8.1242 | |
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| 6.1681 | 0.76 | 800 | 5.9288 | |
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| 5.5565 | 0.85 | 900 | 4.9360 | |
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| 2.0714 | 0.95 | 1000 | 0.2584 | |
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| 0.6051 | 1.04 | 1100 | 0.2062 | |
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| 0.485 | 1.14 | 1200 | 0.1824 | |
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| 0.637 | 1.23 | 1300 | 0.1522 | |
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| 0.5521 | 1.33 | 1400 | 0.1371 | |
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| 0.3999 | 1.42 | 1500 | 0.1331 | |
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| 0.4788 | 1.52 | 1600 | 0.1344 | |
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| 0.3738 | 1.61 | 1700 | 0.0952 | |
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| 0.3046 | 1.71 | 1800 | 0.0871 | |
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| 0.4335 | 1.8 | 1900 | 0.0770 | |
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| 0.3876 | 1.9 | 2000 | 0.0654 | |
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| 0.4226 | 1.99 | 2100 | 0.0638 | |
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| 0.2651 | 2.09 | 2200 | 0.0612 | |
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| 0.2075 | 2.18 | 2300 | 0.0541 | |
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| 0.2464 | 2.28 | 2400 | 0.0473 | |
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| 0.1797 | 2.37 | 2500 | 0.0482 | |
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| 0.2393 | 2.47 | 2600 | 0.0428 | |
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| 0.1764 | 2.56 | 2700 | 0.0396 | |
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| 0.1398 | 2.66 | 2800 | 0.0390 | |
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| 0.1855 | 2.75 | 2900 | 0.0382 | |
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| 0.232 | 2.85 | 3000 | 0.0369 | |
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| 0.2 | 2.94 | 3100 | 0.0358 | |
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### Framework versions |
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- Transformers 4.34.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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