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README.md
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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
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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
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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: 0.0224
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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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| 0.3209 | 0.19 | 100 | 0.3262 |
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| 0.2482 | 0.37 | 200 | 0.3101 |
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| 0.2726 | 0.56 | 300 | 0.3030 |
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| 0.2288 | 0.74 | 400 | 0.2848 |
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| 0.2014 | 0.93 | 500 | 0.2586 |
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| 0.1277 | 1.11 | 600 | 0.2098 |
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| 0.1054 | 1.3 | 700 | 0.1857 |
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| 0.1056 | 1.48 | 800 | 0.1449 |
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| 0.0842 | 1.67 | 900 | 0.1069 |
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| 0.0692 | 1.85 | 1000 | 0.0874 |
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| 0.0314 | 2.04 | 1100 | 0.0628 |
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| 0.0265 | 2.22 | 1200 | 0.0515 |
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| 0.0154 | 2.41 | 1300 | 0.0443 |
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| 0.0127 | 2.59 | 1400 | 0.0382 |
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| 0.0237 | 2.78 | 1500 | 0.0290 |
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| 0.0119 | 2.96 | 1600 | 0.0224 |
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### Framework versions
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- Transformers 4.33.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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