rtmex23-pol2-cardif

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

• eval_loss: 0.7781
• eval_f1: 0.6070
• eval_runtime: 119.5054
• eval_samples_per_second: 210.283
• eval_steps_per_second: 26.292
• epoch: 8.0
• step: 113088

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: 1e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 8

Framework versions

• Transformers 4.29.1
• Pytorch 1.13.1
• Datasets 2.12.0
• Tokenizers 0.13.3