distilroberta-base-mrpc-glue-oscar-salas

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

• eval_loss: 0.6456
• eval_accuracy: 0.8260
• eval_f1: 0.8795
• eval_runtime: 30.3289
• eval_samples_per_second: 13.453
• eval_steps_per_second: 1.682
• epoch: 1.09
• step: 500

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: 5e-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: 3

Framework versions

• Transformers 4.23.1
• Pytorch 1.12.1+cpu
• Datasets 2.6.1
• Tokenizers 0.13.1