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phi1_5_alpaca_Qlora
rchadha134/phi1_5_alpaca_Qlora
phi1_5_alpaca_Qlora is a machine learning model from rchadha134. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Nov 28, 2023
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At a glance
- License
- other
- Access
- Public
- Created
- Nov 27, 2023
- Updated
- Nov 28, 2023
- SHA
- 2f08e710
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. -->
phi1_5_alpaca_Qlora
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9717
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1046 | 0.16 | 1000 | 1.1014 |
| 0.9635 | 0.24 | 1500 | 1.0126 |
| 1.022 | 0.31 | 2000 | 0.9848 |
| 1.0402 | 0.39 | 2500 | 0.9818 |
| 0.9899 | 0.47 | 3000 | 0.9766 |
| 1.0379 | 0.55 | 3500 | 0.9752 |
| 1.0046 | 0.63 | 4000 | 0.9744 |
| 1.0452 | 0.71 | 4500 | 0.9738 |
| 1.0428 | 0.79 | 5000 | 0.9732 |
| 0.9916 | 0.86 | 5500 | 0.9721 |
| 1.0083 | 0.94 | 6000 | 0.9717 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- License
- other
- Created
- Nov 27, 2023
- Updated
- Nov 28, 2023