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muhtasham/small-mlm-tweet_eval-from-scratch-target-rotten_tomatoes

sourceHugging Faceupdated 4y agoView on Hugging Face
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Model Card

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small-mlm-tweeteval-from-scratch-target-rottentomatoes

This model is a fine-tuned version of muhtasham/small-mlm-tweet_eval-from-scratch on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.6199
  • —Accuracy: 0.7280
  • —F1: 0.7249

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: 3e-05
  • —trainbatchsize: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: constant
  • —training_steps: 5000

Training results

Training LossEpochStepValidation LossAccuracyF1
0.63491.875000.56240.71580.7139
0.36673.7510000.63450.73730.7341
0.19965.6215000.84020.74580.7457
0.14797.4920001.14900.73260.7311
0.09589.3625001.25960.73550.7342
0.067111.2430001.61990.72800.7249

Framework versions

  • —Transformers 4.26.0.dev0
  • —Pytorch 1.13.1+cu116
  • —Datasets 2.8.1.dev0
  • —Tokenizers 0.13.2