BoolQ_Llama-3.2-1B-6vpqysw0

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BoolQ_Llama-3.2-1B-6vpqysw0

This model is a fine-tuned version of meta-llama/Llama-3.2-1B on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.2092
• Model Preparation Time: 0.0059
• Mdl: 5704.7597
• Accumulated Loss: 3954.2381
• Correct Preds: 2727.0
• Total Preds: 3270.0
• Accuracy: 0.8339
• Correct Gen Preds: 2725.0
• Gen Accuracy: 0.8333
• Correct Gen Preds 9642: 1785.0
• Correct Preds 9642: 1793.0
• Total Labels 9642: 2026.0
• Accuracy 9642: 0.8850
• Gen Accuracy 9642: 0.8810
• Correct Gen Preds 2822: 930.0
• Correct Preds 2822: 934.0
• Total Labels 2822: 1231.0
• Accuracy 2822: 0.7587
• Gen Accuracy 2822: 0.7555

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: 2e-05
• train_batch_size: 32
• eval_batch_size: 120
• seed: 42
• 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: 0.01
• num_epochs: 100

Training results

Framework versions

• Transformers 4.51.3
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1