Sravanigunnu/sequence_classification

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

sequence_classification

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3597
• —Pearson: 0.7863

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: 8
• —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: 5

Training results

Framework versions

• —PEFT 0.14.0
• —Transformers 4.49.0.dev0
• —Pytorch 2.1.0+cu121
• —Datasets 3.2.0
• —Tokenizers 0.21.0