metadata

tags:
  - generated_from_trainer
model-index:
  - name: rtmex23-pol2-cardif
    results: []

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