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README.md ADDED
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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-base
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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-base-cdsd1h-lora
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+ results: []
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+ ---
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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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+
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+ # whisper-base-cdsd1h-lora
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+
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+ This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1538
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+ - Wer: 80.9311
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+ - Cer: 54.8108
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 10
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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+ | 1.26 | 1.0 | 559 | 1.2699 | 88.5407 | 75.2064 |
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+ | 0.9831 | 2.0 | 1118 | 1.1855 | 86.8845 | 68.5931 |
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+ | 0.8122 | 3.0 | 1677 | 1.1086 | 82.5873 | 66.3942 |
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+ | 0.6565 | 4.0 | 2236 | 1.0974 | 83.6616 | 71.2172 |
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+ | 0.5474 | 5.0 | 2795 | 1.0791 | 82.5425 | 57.2223 |
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+ | 0.4118 | 6.0 | 3354 | 1.0899 | 81.1996 | 57.5084 |
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+ | 0.2976 | 7.0 | 3913 | 1.1049 | 81.1996 | 55.4729 |
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+ | 0.1923 | 8.0 | 4472 | 1.1130 | 80.8863 | 57.0343 |
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+ | 0.1222 | 9.0 | 5031 | 1.1395 | 80.7968 | 55.4974 |
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+ | 0.073 | 10.0 | 5590 | 1.1538 | 80.9311 | 54.8108 |
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+
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+
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+ ### Framework versions
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+
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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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