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README.md
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---
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library_name: peft
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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-medium-cdsd1h-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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# whisper-medium-cdsd1h-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: 0.7490
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- Wer: 69.0689
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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: 16
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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: 100
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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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| 0.8319 | 1.0 | 559 | 0.8337 | 78.2453 |
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| 0.5523 | 2.0 | 1118 | 0.7616 | 73.5900 |
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| 0.3329 | 3.0 | 1677 | 0.7141 | 70.2328 |
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| 0.1729 | 4.0 | 2236 | 0.7248 | 70.4566 |
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| 0.0681 | 5.0 | 2795 | 0.7490 | 69.0689 |
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### Framework versions
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- PEFT 0.13.2
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- Transformers 4.44.2
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- Pytorch 2.0.0+cu118
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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runs/Nov15_00-29-08_WIN-CEJF2NB9KFH/events.out.tfevents.1731601749.WIN-CEJF2NB9KFH.13552.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 31116
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