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rs545837
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finetuned_whisper

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  1. README.md +56 -0
  2. adapter_config.json +32 -0
  3. adapter_model.safetensors +3 -0
  4. adapter_model/adapter_config.json +32 -0
  5. adapter_model/adapter_model.safetensors +3 -0
  6. preprocessor_config.json +14 -0
  7. runs/May23_06-06-40_ip-10-192-12-138/events.out.tfevents.1716444412.ip-10-192-12-138.5026.0 +3 -0
  8. runs/May29_05-06-35_ip-10-192-11-50/events.out.tfevents.1716959202.ip-10-192-11-50.3070.0 +3 -0
  9. training_args.bin +3 -0
README.md ADDED
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+ ---
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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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+ base_model: openai/whisper-large-v3
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+ model-index:
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+ - name: finetuned_whisper
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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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+ # finetuned_whisper
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+
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+ This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
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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: 3
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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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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.11.2.dev0
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+ - Transformers 4.42.0.dev0
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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+ "base_model_class": "WhisperForConditionalGeneration",
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+ "parent_library": "transformers.models.whisper.modeling_whisper"
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+ },
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+ "base_model_name_or_path": "openai/whisper-large-v3",
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+ "bias": "none",
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+ ],
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+ }
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