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llama-3.2-3B-lora-dummy-32
sizhkhy/llama-3.2-3B-lora-dummy-32
llama-3.2-3B-lora-dummy-32 is a machine learning model from sizhkhy. 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 other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Dec 6, 2024
- Updated
- Dec 6, 2024
- SHA
- 06eca5ea
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. -->
llama-3.2-3B-lora-dummy-32
This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on the gommt-oneshot-train dataset. It achieves the following results on the evaluation set:
- Loss: 0.0298
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0452 | 0.16 | 5 | 0.0434 |
| 0.0349 | 0.32 | 10 | 0.0370 |
| 0.031 | 0.48 | 15 | 0.0330 |
| 0.0258 | 0.64 | 20 | 0.0311 |
| 0.0277 | 0.8 | 25 | 0.0300 |
| 0.0261 | 0.96 | 30 | 0.0298 |
Framework versions
- PEFT 0.12.0
- Transformers 4.46.1
- Pytorch 2.4.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Library
- peft
- License
- other
- Created
- Dec 6, 2024
- Updated
- Dec 6, 2024