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moghis_distilbert-base-uncased-finetuned-emotion-finetuned-lora-tweet_eval_irony

This model is a fine-tuned version of moghis/distilbert-base-uncased-finetuned-emotion on the tweet_eval dataset. It achieves the following results on the evaluation set:

  • accuracy: 0.6408

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
0.4723 None 0
0.5874 0.6918 0
0.6031 0.6420 1
0.6283 0.6049 2
0.6461 0.5723 3
0.6314 0.5538 4
0.6262 0.5363 5
0.6440 0.5199 6
0.6408 0.5056 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/moghis_distilbert-base-uncased-finetuned-emotion-finetuned-lora-tweet_eval_irony

Evaluation results