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navsad_navid_test_bert-finetuned-lora-tweet_eval_irony

This model is a fine-tuned version of navsad/navid_test_bert on the tweet_eval dataset. It achieves the following results on the evaluation set:

  • accuracy: 0.6209

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
0.5141 None 0
0.5613 0.8036 0
0.5571 0.6823 1
0.5717 0.6684 2
0.5822 0.6484 3
0.5937 0.6207 4
0.6178 0.6050 5
0.6220 0.5948 6
0.6209 0.5825 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/navsad_navid_test_bert-finetuned-lora-tweet_eval_irony

Evaluation results