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End of training

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README.md ADDED
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+ ---
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+ language:
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+ - en
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+ license: apache-2.0
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - PolyAI/minds14
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+ base_model: openai/whisper-small
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+ model-index:
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+ - name: Whisper Small Finetuned - SasiVardhan
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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 Small Finetuned - SasiVardhan
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+
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the minds 14 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7070
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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: 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: 50
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.9334 | 1.0 | 56 | 0.5490 |
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+ | 0.3311 | 2.0 | 112 | 0.4733 |
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+ | 0.1602 | 3.0 | 168 | 0.5424 |
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+ | 0.0487 | 4.0 | 224 | 0.5561 |
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+ | 0.0253 | 5.0 | 280 | 0.6136 |
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+ | 0.0064 | 6.0 | 336 | 0.6719 |
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+ | 0.0043 | 7.0 | 392 | 0.6661 |
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+ | 0.0045 | 8.0 | 448 | 0.6927 |
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+ | 0.0017 | 9.0 | 504 | 0.7012 |
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+ | 0.0014 | 10.0 | 560 | 0.7070 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.9.1.dev0
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+ - Transformers 4.39.0.dev0
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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