roberta2-base-mnli-negnli

This model is a fine-tuned version of sileod/roberta-base-mnli on the GLUE MNLI dataset and the MNLI subset in NegNLI. It achieves the following results on the evaluation set:

• Loss: 0.8397
• Accuracy: 0.8400

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5.0

Training results

Framework versions

• Transformers 4.21.0.dev0
• Pytorch 1.8.0
• Datasets 1.18.3
• Tokenizers 0.12.1