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ltuzova/amazon_helpfulness_classification_on_TAPT_pretrained_full_train

sourceHugging Facemitupdated 2y agoView on Hugging Face
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amazonhelpfulnessclassificationonTAPTpretrainedfull_train

This model is a fine-tuned version of ltuzova/tapt_helpfulness_base_pretraining_model_full_train on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.3275
  • —Accuracy: 0.8787
  • —F1 Macro: 0.6852

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: 2e-05
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.06
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracyF1 Macro
0.31751.072040.30370.87620.6515
0.29962.0144080.34040.87440.6448
0.26243.0216120.32630.87920.6963
0.23224.0288160.43140.8770.6752
0.19065.0360200.55210.87080.6836
0.14876.0432240.70170.87040.6941

Framework versions

  • —Transformers 4.36.2
  • —Pytorch 2.2.1+cu121
  • —Datasets 2.19.0
  • —Tokenizers 0.15.2