donoway/BoolQ_Llama-3.2-1B-n5s6b4x8

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BoolQ_Llama-3.2-1B-n5s6b4x8

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: 1.4568
• —Model Preparation Time: 0.0058
• —Mdl: 6872.6248
• —Accumulated Loss: 4763.7405
• —Correct Preds: 2760.0
• —Total Preds: 3270.0
• —Accuracy: 0.8440
• —Correct Gen Preds: 2757.0
• —Gen Accuracy: 0.8431
• —Correct Gen Preds 9642: 1814.0
• —Correct Preds 9642: 1823.0
• —Total Labels 9642: 2026.0
• —Accuracy 9642: 0.8998
• —Gen Accuracy 9642: 0.8954
• —Correct Gen Preds 2822: 934.0
• —Correct Preds 2822: 937.0
• —Total Labels 2822: 1231.0
• —Accuracy 2822: 0.7612
• —Gen Accuracy 2822: 0.7587

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
• —trainbatchsize: 32
• —evalbatchsize: 120
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_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