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semeval2026_Llama-3.2-3B-Instruct_1ep_v1
juliadollis/semeval2026_Llama-3.2-3B-Instruct_1ep_v1
semeval2026_Llama-3.2-3B-Instruct_1ep_v1 is a machine learning model from juliadollis. 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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At a glance
- Library
- peft
- License
- llama3.2
- Access
- Public
- Created
- Oct 26, 2025
- Updated
- Oct 26, 2025
- SHA
- fe9796c8
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. -->
semeval2026_Llama-3.2-3B-Instruct_1ep_v1
This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0875
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: 2
- seed: 3407
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0845 | 1.0 | 388 | 0.0875 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 2.20.0
- Tokenizers 0.20.3
- Library
- peft
- License
- llama3.2
- Created
- Oct 26, 2025
- Updated
- Oct 26, 2025