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whisper-medium-en
harpreet1/whisper-medium-en
whisper-medium-en is a machine learning model from harpreet1. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Nov 28, 2024
- Updated
- Dec 5, 2024
- SHA
- e9e48140
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
Whisper Medium En - Harpreet Singh
This model is a fine-tuned version of openai/whisper-medium on the Medicine_data dataset. It achieves the following results on the evaluation set:
- Loss: 2.5904
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 5
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8314 | 2.5 | 1000 | 2.5904 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Library
- peft
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Nov 28, 2024
- Updated
- Dec 5, 2024