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TransferGraph/SetFit_distilbert-base-uncased__sst2__train-32-9-finetuned-lora-tweet_eval_irony

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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SetFitdistilbert-base-uncasedsst2train-32-9-finetuned-lora-tweeteval_irony

This model is a fine-tuned version of SetFit/distilbert-base-uncased__sst2__train-32-9 on the tweet_eval dataset. It achieves the following results on the evaluation set:

  • —accuracy: 0.6785

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
  • —trainbatchsize: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 8

Training results

accuracytrain_lossepoch
0.5288None0
0.62510.66710
0.63660.62341
0.67850.58322
0.67960.55313
0.68480.53244
0.65240.51355
0.68170.48526
0.67850.47657

Framework versions

  • —PEFT 0.8.2
  • —Transformers 4.37.2
  • —Pytorch 2.2.0
  • —Datasets 2.16.1
  • —Tokenizers 0.15.2