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CodePhi-3-mini-128k-instruct-appsloraN1.5ka
AdnanRiaz107/CodePhi-3-mini-128k-instruct-appsloraN1.5ka
CodePhi-3-mini-128k-instruct-appsloraN1.5ka is a machine learning model from AdnanRiaz107. 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
- Aug 15, 2024
- Updated
- Aug 15, 2024
- SHA
- 66eaf2e6
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. -->
CodePhi-3-mini-128k-instruct-appsloraN1.5kA
This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6586
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-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 1500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5962 | 0.0667 | 100 | 0.6983 |
| 0.6514 | 0.1333 | 200 | 0.6770 |
| 0.6475 | 0.2 | 300 | 0.6699 |
| 0.5927 | 0.2667 | 400 | 0.6655 |
| 0.6197 | 0.3333 | 500 | 0.6624 |
| 0.6055 | 0.4 | 600 | 0.6607 |
| 0.6093 | 0.4667 | 700 | 0.6594 |
| 0.57 | 0.5333 | 800 | 0.6591 |
| 0.5855 | 0.6 | 900 | 0.6587 |
| 0.542 | 0.6667 | 1000 | 0.6586 |
| 0.6334 | 0.7333 | 1100 | 0.6587 |
| 0.6182 | 0.8 | 1200 | 0.6586 |
| 0.5882 | 0.8667 | 1300 | 0.6587 |
| 0.6336 | 0.9333 | 1400 | 0.6586 |
| 0.5933 | 1.0 | 1500 | 0.6586 |
Framework versions
- PEFT 0.11.0
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- mit
- Created
- Aug 15, 2024
- Updated
- Aug 15, 2024