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outputs
ayshwaryaninet1/outputs
outputs is a machine learning model from ayshwaryaninet1. 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 13, 2024
- Updated
- Oct 13, 2024
- SHA
- 4003e7ca
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. -->
outputs
This model is a fine-tuned version of unsloth/phi-3.5-mini-instruct-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0415
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: 3407
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 250
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1413 | 0.0183 | 10 | 1.1571 |
| 1.1366 | 0.0366 | 20 | 1.1230 |
| 1.2494 | 0.0549 | 30 | 1.1059 |
| 1.1031 | 0.0732 | 40 | 1.0939 |
| 1.1264 | 0.0915 | 50 | 1.0847 |
| 1.0365 | 0.1098 | 60 | 1.0806 |
| 1.0157 | 0.1281 | 70 | 1.0805 |
| 1.153 | 0.1465 | 80 | 1.0748 |
| 1.0312 | 0.1648 | 90 | 1.0700 |
| 0.9456 | 0.1831 | 100 | 1.0665 |
| 1.1037 | 0.2014 | 110 | 1.0634 |
| 0.9732 | 0.2197 | 120 | 1.0603 |
| 1.0042 | 0.2380 | 130 | 1.0613 |
| 1.0203 | 0.2563 | 140 | 1.0583 |
| 0.941 | 0.2746 | 150 | 1.0549 |
| 1.1907 | 0.2929 | 160 | 1.0517 |
| 1.1479 | 0.3112 | 170 | 1.0490 |
| 1.077 | 0.3295 | 180 | 1.0478 |
| 1.0067 | 0.3478 | 190 | 1.0467 |
| 1.1518 | 0.3661 | 200 | 1.0462 |
| 0.944 | 0.3844 | 210 | 1.0442 |
| 1.047 | 0.4027 | 220 | 1.0434 |
| 0.9985 | 0.4211 | 230 | 1.0423 |
| 1.1321 | 0.4394 | 240 | 1.0419 |
| 1.0506 | 0.4577 | 250 | 1.0415 |
Framework versions
- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Library
- peft
- License
- mit
- Created
- Oct 13, 2024
- Updated
- Oct 13, 2024