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PointCon-Vigogne13B
Acadys/PointCon-Vigogne13B
PointCon-Vigogne13B is a machine learning model from Acadys. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated Nov 14, 2023
Repo size
506 MB
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1
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At a glance
- Access
- Public
- Created
- Aug 29, 2023
- Updated
- Nov 14, 2023
- SHA
- 50b55fbb
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. -->
PointCon-Vigogne-13B-LoRA
This model is a fine-tuned version of bofenghuang/vigogne-2-13b-instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8656
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0885 | 0.1 | 30 | 2.0357 |
| 2.0024 | 0.19 | 60 | 1.9733 |
| 1.9995 | 0.29 | 90 | 1.9406 |
| 1.9752 | 0.38 | 120 | 1.9285 |
| 1.9235 | 0.48 | 150 | 1.9060 |
| 1.9345 | 0.57 | 180 | 1.8924 |
| 1.8576 | 0.67 | 210 | 1.8818 |
| 1.8693 | 0.76 | 240 | 1.8734 |
| 1.8686 | 0.86 | 270 | 1.8695 |
| 1.8814 | 0.95 | 300 | 1.8656 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Created
- Aug 29, 2023
- Updated
- Nov 14, 2023