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semeval2026_Llama-3.2-1B-Instruct_1ep_v0 – AI Model by juliadollis | AlphaNeural AI
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semeval2026_Llama-3.2-1B-Instruct_1ep_v0
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peft
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meta-llama/Llama-3.2-1B-Instruct
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llama3.2
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semeval2026_Llama-3.2-1B-Instruct_1ep_v0
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3351
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: 8
total_train_batch_size: 16
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
0.3358
1.0
194
0.3351
Framework versions
PEFT 0.13.2
Transformers 4.46.3
Pytorch 2.4.1+cu121
Datasets 2.20.0
Tokenizers 0.20.3
