results

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

• eval_loss: 0.0863
• eval_runtime: 129.7995
• eval_samples_per_second: 41.803
• eval_steps_per_second: 10.455
• epoch: 1.0
• step: 10853

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Framework versions

• Transformers 4.37.2
• Pytorch 2.2.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.2