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Phi-3.5-MultiCap-mt-8
sofyc/Phi-3.5-MultiCap-mt-8
Phi-3.5-MultiCap-mt-8 is a machine learning model from sofyc. 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
- Sep 6, 2024
- Updated
- Sep 6, 2024
- SHA
- 1531ab73
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-3.5-MultiCap-mt-8
This model is a fine-tuned version of microsoft/Phi-3.5-mini-instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6751
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.005 | 0.5109 | 50 | 0.9799 |
| 0.7452 | 1.0217 | 100 | 0.7840 |
| 0.7469 | 1.5326 | 150 | 0.7372 |
| 0.7326 | 2.0434 | 200 | 0.7166 |
| 0.7264 | 2.5543 | 250 | 0.7045 |
| 0.7241 | 3.0651 | 300 | 0.6965 |
| 0.6842 | 3.5760 | 350 | 0.6910 |
| 0.6712 | 4.0868 | 400 | 0.6865 |
| 0.6824 | 4.5977 | 450 | 0.6831 |
| 0.6654 | 5.1086 | 500 | 0.6809 |
| 0.7041 | 5.6194 | 550 | 0.6791 |
| 0.6573 | 6.1303 | 600 | 0.6775 |
| 0.6606 | 6.6411 | 650 | 0.6762 |
| 0.6561 | 7.1520 | 700 | 0.6755 |
| 0.6799 | 7.6628 | 750 | 0.6751 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Library
- peft
- License
- mit
- Created
- Sep 6, 2024
- Updated
- Sep 6, 2024