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uplimit-project-3-phi-1.5
aleidolf/uplimit-project-3-phi-1.5
uplimit-project-3-phi-1.5 is a machine learning model from aleidolf. 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 7, 2023
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At a glance
- License
- other
- Access
- Public
- Created
- Nov 7, 2023
- Updated
- Nov 7, 2023
- SHA
- ae6b0f02
Base models
Datasets
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. -->
uplimit-project-3-phi-1.5
This model is a fine-tuned version of microsoft/phi-1_5 on the scitldr dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
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: 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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0 | 0.1 | 200 | 0.0000 |
| 0.0 | 0.2 | 400 | 0.0000 |
| 0.0 | 0.3 | 600 | 0.0000 |
| 0.0 | 0.4 | 800 | 0.0000 |
| 0.0 | 0.5 | 1000 | 0.0000 |
| 0.0 | 0.6 | 1200 | 0.0000 |
| 0.0 | 0.7 | 1400 | 0.0000 |
| 0.0 | 0.8 | 1600 | 0.0000 |
| 0.0 | 0.9 | 1800 | 0.0000 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- License
- other
- Created
- Nov 7, 2023
- Updated
- Nov 7, 2023