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haryoaw/scenario-TCR-XLMV_data-cardiffnlp_tweet_sentiment_multilingual_all_gamma2

sourceHugging Facemitupdated 2y agoView on Hugging Face
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scenario-TCR-XLMVdata-cardiffnlptweetsentimentmultilingualallgamma2

This model is a fine-tuned version of facebook/xlm-v-base on the tweetsentimentmultilingual dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.0986
  • —Accuracy: 0.3333
  • —F1: 0.1667

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: 5e-05
  • —trainbatchsize: 32
  • —evalbatchsize: 32
  • —seed: 77
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 500

Training results

Training LossEpochStepValidation LossAccuracyF1
1.10041.095001.09870.33330.1667
1.09992.1710001.09890.33330.1667
1.09963.2615001.09920.33330.1667
1.09934.3520001.09870.33330.1667
1.09935.4325001.09900.33330.1667
1.09986.5230001.09860.33330.1667

Framework versions

  • —Transformers 4.33.3
  • —Pytorch 2.1.1+cu121
  • —Datasets 2.14.5
  • —Tokenizers 0.13.3