CoolFace
Modelpublic

cholling/distilbert-amazon-shoe-reviews

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
0likes5downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

distilbert-amazon-shoe-reviews

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.9532
  • —Accuracy: 0.5779
  • —F1: [0.62616119 0.46456105 0.50993865 0.55755123 0.734375 ]
  • —Precision: [0.62757927 0.46676662 0.49148534 0.58430541 0.72415507]
  • —Recall: [0.6247495 0.46237624 0.52983172 0.53313982 0.74488753]

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: 64
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 1

Training results

Training LossEpochStepValidation LossAccuracyF1PrecisionRecall
0.97131.028130.95320.5779[0.62616119 0.46456105 0.50993865 0.55755123 0.734375 ][0.62757927 0.46676662 0.49148534 0.58430541 0.72415507][0.6247495 0.46237624 0.52983172 0.53313982 0.74488753]

Framework versions

  • —Transformers 4.20.1
  • —Pytorch 1.12.0+cu102
  • —Datasets 2.3.2
  • —Tokenizers 0.12.1