Downloads · 30 days
4
15% of all-time downloads
finetuned-phi-3.5
Gurveer05/finetuned-phi-3.5
finetuned-phi-3.5 is a machine learning model from Gurveer05. 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. --
All-time downloads
26
Public
Repo size
718 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors120 MB · 98%
At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Sep 28, 2024
- Updated
- Oct 4, 2024
- SHA
- d8b4437f
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. -->
finetuned-phi-3.5
This model is a fine-tuned version of unsloth/phi-3.5-mini-instruct-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2131
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: 4
- eval_batch_size: 4
- seed: 3407
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4522 | 0.9951 | 19 | 1.8875 |
| 1.2043 | 1.9902 | 38 | 0.5652 |
| 0.5041 | 2.9853 | 57 | 0.4559 |
| 0.4434 | 3.9804 | 76 | 0.4152 |
| 0.4065 | 4.9755 | 95 | 0.3812 |
| 0.3697 | 5.9705 | 114 | 0.3486 |
| 0.3329 | 6.9656 | 133 | 0.3160 |
| 0.296 | 7.9607 | 152 | 0.2885 |
| 0.26 | 8.9558 | 171 | 0.2672 |
| 0.228 | 9.9509 | 190 | 0.2497 |
| 0.1993 | 10.9460 | 209 | 0.2347 |
| 0.1727 | 11.9411 | 228 | 0.2241 |
| 0.1525 | 12.9362 | 247 | 0.2157 |
| 0.1329 | 13.9313 | 266 | 0.2131 |
Framework versions
- PEFT 0.13.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
- Library
- peft
- License
- mit
- Created
- Sep 28, 2024
- Updated
- Oct 4, 2024