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LoRA_FineTuned_Model
raghvindchopra/LoRA_FineTuned_Model
LoRA_FineTuned_Model is a machine learning model from raghvindchopra. 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 llama3.2.
should probably proofread and complete it, then remove this comment. --
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.json17.3 MB · 83%
At a glance
- Library
- peft
- License
- llama3.2
- Access
- Public
- Created
- Oct 14, 2024
- Updated
- Oct 14, 2024
- SHA
- c2ffc7f4
Base models
Datasets
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. -->
LoRA_FineTuned_Model
This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.0075
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: 0.0005
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2921 | 0.0277 | 10 | 1.2173 |
| 1.126 | 0.0553 | 20 | 1.1010 |
| 1.0353 | 0.0830 | 30 | 1.0407 |
| 1.0177 | 0.1107 | 40 | 1.0200 |
| 0.9809 | 0.1383 | 50 | 1.0075 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
- Library
- peft
- License
- llama3.2
- Created
- Oct 14, 2024
- Updated
- Oct 14, 2024