robertolli

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

• eval_loss: 3.2551
• eval_accuracy: 0.0415
• eval_f1: 0.0033
• eval_runtime: 1781.7772
• eval_samples_per_second: 58.722
• eval_steps_per_second: 0.196
• step: 0

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: 300
• eval_batch_size: 300
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 600
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 7
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.44.0
• Pytorch 2.4.0
• Datasets 2.21.0
• Tokenizers 0.19.1