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semeval2026_Llama-3.2-3B-Instruct_5ep_v1 – AI Model by juliadollis | AlphaNeural AI
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semeval2026_Llama-3.2-3B-Instruct_5ep_v1
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peft
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meta-llama/Llama-3.2-3B-Instruct
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llama3.2
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semeval2026_Llama-3.2-3B-Instruct_5ep_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: 0.1535
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.0993
1.0
388
0.0891
0.0649
2.0
776
0.0843
0.0528
3.0
1164
0.0994
0.0146
4.0
1552
0.1150
0.0035
5.0
1940
0.1535
Framework versions
PEFT 0.13.2
Transformers 4.46.3
Pytorch 2.4.1+cu121
Datasets 2.20.0
Tokenizers 0.20.3
