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cls_finred_phi3_v1
Sorour/cls_finred_phi3_v1
cls_finred_phi3_v1 is a machine learning model from Sorour. 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
- May 22, 2024
- Updated
- May 22, 2024
- SHA
- 0251a967
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. -->
cls_finred_phi3_v1
This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.4678
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: 0.0002
- 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: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8648 | 0.1046 | 20 | 0.7698 |
| 0.702 | 0.2092 | 40 | 0.6944 |
| 0.7014 | 0.3137 | 60 | 0.6538 |
| 0.6379 | 0.4183 | 80 | 0.6318 |
| 0.6547 | 0.5229 | 100 | 0.6054 |
| 0.6044 | 0.6275 | 120 | 0.5934 |
| 0.597 | 0.7320 | 140 | 0.5759 |
| 0.5779 | 0.8366 | 160 | 0.5620 |
| 0.5244 | 0.9412 | 180 | 0.5530 |
| 0.477 | 1.0458 | 200 | 0.5505 |
| 0.4465 | 1.1503 | 220 | 0.5407 |
| 0.4669 | 1.2549 | 240 | 0.5303 |
| 0.5193 | 1.3595 | 260 | 0.5250 |
| 0.4398 | 1.4641 | 280 | 0.5169 |
| 0.4571 | 1.5686 | 300 | 0.5071 |
| 0.4175 | 1.6732 | 320 | 0.4953 |
| 0.4037 | 1.7778 | 340 | 0.4850 |
| 0.4418 | 1.8824 | 360 | 0.4764 |
| 0.4136 | 1.9869 | 380 | 0.4678 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- mit
- Created
- May 22, 2024
- Updated
- May 22, 2024