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emrecan_bert-base-multilingual-cased-snli_tr-finetuned-lora-tweet_eval_irony

This model is a fine-tuned version of emrecan/bert-base-multilingual-cased-snli_tr on the tweet_eval dataset. It achieves the following results on the evaluation set:

  • accuracy: 0.6545

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
0.4890 None 0
0.5832 0.6882 0
0.6010 0.6555 1
0.6073 0.6323 2
0.6304 0.6103 3
0.6377 0.5919 4
0.6419 0.5777 5
0.6492 0.5652 6
0.6545 0.5568 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/emrecan_bert-base-multilingual-cased-snli_tr-finetuned-lora-tweet_eval_irony

Evaluation results