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cardiffnlp_twitter-roberta-base-2021-124m-finetuned-lora-tweet_eval_irony

This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-2021-124m on the tweet_eval dataset. It achieves the following results on the evaluation set:

  • accuracy: 0.7613

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: 0.0005
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 8

Training results

accuracy train_loss epoch
0.4827 None 0
0.6859 0.6609 0
0.7162 0.5654 1
0.7403 0.5213 2
0.7476 0.4871 3
0.7445 0.4654 4
0.7508 0.4388 5
0.7634 0.4284 6
0.7613 0.4145 7

Framework versions

  • PEFT 0.8.2
  • Transformers 4.37.2
  • Pytorch 2.2.0
  • Datasets 2.16.1
  • Tokenizers 0.15.2
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Adapter for

Dataset used to train TransferGraph/cardiffnlp_twitter-roberta-base-2021-124m-finetuned-lora-tweet_eval_irony

Evaluation results