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CodePhi-3-mini-128k-instruct-appsloraN10k8-16
AdnanRiaz107/CodePhi-3-mini-128k-instruct-appsloraN10k8-16
CodePhi-3-mini-128k-instruct-appsloraN10k8-16 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 6, 2024
- Updated
- Aug 6, 2024
- SHA
- 028bce51
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-appsloraN10k8-16
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: 0.6381
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- training_steps: 10000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6865 | 0.05 | 500 | 0.6835 |
| 0.5164 | 0.1 | 1000 | 0.6724 |
| 0.5129 | 0.15 | 1500 | 0.6621 |
| 0.6136 | 0.2 | 2000 | 0.6542 |
| 0.4944 | 0.25 | 2500 | 0.6500 |
| 0.756 | 0.3 | 3000 | 0.6460 |
| 0.5947 | 0.35 | 3500 | 0.6431 |
| 0.5981 | 0.4 | 4000 | 0.6423 |
| 0.6912 | 0.45 | 4500 | 0.6408 |
| 0.5595 | 0.5 | 5000 | 0.6400 |
| 0.5818 | 0.55 | 5500 | 0.6391 |
| 0.5914 | 0.6 | 6000 | 0.6386 |
| 0.5519 | 0.65 | 6500 | 0.6383 |
| 0.5608 | 0.7 | 7000 | 0.6383 |
| 0.615 | 0.75 | 7500 | 0.6381 |
| 0.6229 | 0.8 | 8000 | 0.6381 |
| 0.602 | 0.85 | 8500 | 0.6381 |
| 0.6142 | 0.9 | 9000 | 0.6380 |
| 0.5413 | 0.95 | 9500 | 0.6381 |
| 0.5866 | 1.0 | 10000 | 0.6381 |
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 6, 2024
- Updated
- Aug 6, 2024