titanhacker/sequence_classification

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sequence_classification

This model is a fine-tuned version of meta-llama/Llama-3.2-1B on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.8885
• —Pearson: 0.8036

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: 0.0001
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 4

Training results

Framework versions

• —PEFT 0.14.0
• —Transformers 4.49.0.dev0
• —Pytorch 2.4.0+cu118
• —Datasets 3.2.0
• —Tokenizers 0.21.0