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--- |
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base_model: openai/whisper-tiny |
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library_name: peft |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: test |
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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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# test |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2527 |
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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: 0.0001 |
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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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- training_steps: 2000 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.183 | 2.5 | 250 | 1.8650 | |
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| 1.5663 | 5.0 | 500 | 1.5657 | |
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| 1.4027 | 7.5 | 750 | 1.4221 | |
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| 1.2577 | 10.0 | 1000 | 1.3457 | |
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| 1.2005 | 12.5 | 1250 | 1.3022 | |
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| 1.1409 | 15.0 | 1500 | 1.2743 | |
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| 1.1152 | 17.5 | 1750 | 1.2585 | |
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| 1.0965 | 20.0 | 2000 | 1.2527 | |
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### Framework versions |
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- PEFT 0.13.1.dev0 |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
