CoolFace
Modelpublic

khilan-crest/twitter-roberta-base-sentiment-latest_28122024T091935

sourceHugging Faceupdated 2y agoView on Hugging Face
0likes7downloads
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. -->

twitter-roberta-base-sentiment-latest_28122024T091935

This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.8677
  • —F1: 0.6678
  • —Learning Rate: 0.0

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: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 16
  • —optimizer: Use adamwhf with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_steps: 200
  • —num_epochs: 5
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossF1Rate
No log0.99843200.91900.62590.0000
1.12192.06410.86770.66780.0000
1.12192.99849610.87410.68500.0000
0.67224.012820.92740.68530.0000
0.43614.992216000.93760.68510.0

Framework versions

  • —Transformers 4.46.2
  • —Pytorch 2.0.1+cu117
  • —Datasets 2.14.4
  • —Tokenizers 0.20.3