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Phi-3-mini-128k-instruct_fineTuned_7a130e6d-43c5-4b2d-93a5-e4008eee6479
yashss/Phi-3-mini-128k-instruct_fineTuned_7a130e6d-43c5-4b2d-93a5-e4008eee6479
Phi-3-mini-128k-instruct_fineTuned_7a130e6d-43c5-4b2d-93a5-e4008eee6479 is a machine learning model from yashss. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Jul 11, 2024
- Updated
- Jul 11, 2024
- SHA
- 55d7fc61
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. -->
Phi-3-mini-128k-instruct_fineTuned_7a130e6d-43c5-4b2d-93a5-e4008eee6479
This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on an unknown dataset.
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- training_steps: 2
Training results
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.3.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- mit
- Created
- Jul 11, 2024
- Updated
- Jul 11, 2024