deberta-semeval25_justEN08_fold3

<!-- 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. -->

deberta-semeval25_justEN08_fold3

This model is a fine-tuned version of microsoft/deberta-v3-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 8.2204
• Precision Samples: 0.475
• Recall Samples: 0.475
• F1 Samples: 0.475
• Precision Macro: 0.9925
• Recall Macro: 0.4714
• F1 Macro: 0.4663
• Precision Micro: 0.475
• Recall Micro: 0.2184
• F1 Micro: 0.2992
• Precision Weighted: 0.8853
• Recall Weighted: 0.2184
• F1 Weighted: 0.1407

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: 32
• 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: linear
• num_epochs: 10

Training results

Framework versions

• Transformers 4.46.0
• Pytorch 2.3.1
• Datasets 2.21.0
• Tokenizers 0.20.1