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TransferGraph/Recognai_bert-base-spanish-wwm-cased-xnli-finetuned-lora-tweet_eval_irony

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Model Card

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Recognaibert-base-spanish-wwm-cased-xnli-finetuned-lora-tweeteval_irony

This model is a fine-tuned version of Recognai/bert-base-spanish-wwm-cased-xnli on the tweet_eval dataset. It achieves the following results on the evaluation set:

  • —accuracy: 0.6241

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
0.4869None0
0.56230.69070
0.58010.67631
0.59480.65282
0.57490.63813
0.60630.62964
0.58740.62275
0.60210.61516
0.62410.60857

Framework versions

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