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Phi-3.5-mini-instruct-rag-score-generator-adapters
gutsartificial/Phi-3.5-mini-instruct-rag-score-generator-adapters
Phi-3.5-mini-instruct-rag-score-generator-adapters is a machine learning model from gutsartificial. 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
- Oct 28, 2024
- Updated
- Oct 28, 2024
- SHA
- 13609d3b
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-mini-instruct-2024-10-28_15-54-04
This model is a fine-tuned version of unsloth/Phi-3.5-mini-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6209
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6797 | 0.2492 | 148 | 0.6636 |
| 0.6457 | 0.4983 | 296 | 0.6456 |
| 0.6394 | 0.7475 | 444 | 0.6378 |
| 0.6539 | 0.9966 | 592 | 0.6329 |
| 0.6116 | 1.2458 | 740 | 0.6299 |
| 0.617 | 1.4949 | 888 | 0.6284 |
| 0.5936 | 1.7441 | 1036 | 0.6254 |
| 0.5994 | 1.9933 | 1184 | 0.6231 |
| 0.6277 | 2.2424 | 1332 | 0.6226 |
| 0.6123 | 2.4916 | 1480 | 0.6217 |
| 0.6583 | 2.7407 | 1628 | 0.6210 |
| 0.5918 | 2.9899 | 1776 | 0.6209 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 2.19.2
- Tokenizers 0.20.1
- Library
- peft
- License
- mit
- Created
- Oct 28, 2024
- Updated
- Oct 28, 2024