roberta-base-negcommonsense-1e-06-64-stsb-lr2e-05-bs32

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roberta-base-negcommonsense-1e-06-64-stsb-lr2e-05-bs32

This model is a fine-tuned version of mhr2004/roberta-base-negcommonsense-1e-06-64 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0173
• Pearson: 0.9059
• Spearman: 0.9046

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 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: 4

Training results

Framework versions

• Transformers 4.49.0
• Pytorch 2.7.0+cu126
• Datasets 3.6.0
• Tokenizers 0.21.1