viviastaari_finetuning-sentiment-analysis-en-id-finetuned-lora-tweet_eval_irony

This model is a fine-tuned version of viviastaari/finetuning-sentiment-analysis-en-id on the tweet_eval dataset. It achieves the following results on the evaluation set:

  • accuracy: 0.5832

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
0.4859 None 0
0.5414 0.7524 0
0.5843 0.6806 1
0.5948 0.6662 2
0.5864 0.6431 3
0.5853 0.6316 4
0.5832 0.6240 5
0.5853 0.6122 6
0.5832 0.6106 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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Dataset used to train TransferGraph/viviastaari_finetuning-sentiment-analysis-en-id-finetuned-lora-tweet_eval_irony

Evaluation results