roberta-base-finetuned-mnli-mm

This model is a fine-tuned version of roberta-base on the glue dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.4062
• eval_accuracy: 0.8457
• eval_runtime: 33.2523
• eval_samples_per_second: 295.679
• eval_steps_per_second: 4.631
• epoch: 1.0
• step: 12272

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: 3.0719015844102515e-06
• train_batch_size: 32
• eval_batch_size: 64
• seed: 24
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Framework versions

• Transformers 4.16.2
• Pytorch 2.1.0+cu121
• Datasets 1.16.1
• Tokenizers 0.15.2