donoway/BoolQ_Llama-3.2-1B-cy926ylx

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BoolQ_Llama-3.2-1B-cy926ylx

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: 1.4230
• —Model Preparation Time: 0.0057
• —Mdl: 6713.3268
• —Accumulated Loss: 4653.3235
• —Correct Preds: 2664.0
• —Total Preds: 3270.0
• —Accuracy: 0.8147
• —Correct Gen Preds: 2667.0
• —Gen Accuracy: 0.8156
• —Correct Gen Preds 9642: 1802.0
• —Correct Preds 9642: 1807.0
• —Total Labels 9642: 2026.0
• —Accuracy 9642: 0.8919
• —Gen Accuracy 9642: 0.8894
• —Correct Gen Preds 2822: 856.0
• —Correct Preds 2822: 857.0
• —Total Labels 2822: 1231.0
• —Accuracy 2822: 0.6962
• —Gen Accuracy 2822: 0.6954

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