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OpenAssistant-Phi2-QLoRA
charvibannur/OpenAssistant-Phi2-QLoRA
OpenAssistant-Phi2-QLoRA is a machine learning model from charvibannur. 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
- Jan 18, 2024
- Updated
- Jan 18, 2024
- SHA
- efe9642a
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. -->
out
This model is a fine-tuned version of microsoft/phi-2 on the open-assistant-guanaco dataset. It achieves the following results on the evaluation set:
- Loss: 0.2759
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 1
- eval_batch_size: 16
- 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
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3107 | 0.5 | 276 | 0.3292 |
| 0.2879 | 1.0 | 552 | 0.3003 |
| 0.3 | 1.5 | 828 | 0.2873 |
| 0.3341 | 1.99 | 1104 | 0.2759 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- peft
- License
- mit
- Created
- Jan 18, 2024
- Updated
- Jan 18, 2024