CoolFace
Modelpublic

phunganhsang/XMLRoberta_Dataset9kMetaGemini

sourceHugging Facemitupdated 2y 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. -->

<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>

XMLRoberta_Dataset9kMetaGemini

This model is a fine-tuned version of FacebookAI/xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3230
  • Accuracy: 0.9385
  • F1: 0.9385

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: 32
  • evalbatchsize: 32
  • seed: 42
  • gradientaccumulationsteps: 2
  • totaltrainbatch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 20

Training results

Training LossEpochStepValidation LossAccuracyF1
No log1.96082000.19490.93650.9320
0.43423.92164000.18150.94470.9461
0.18885.88246000.21120.93650.9372
0.11577.84318000.22310.93650.9372
0.08359.803910000.24870.94060.9407
0.061111.764712000.31410.93650.9352
0.038713.725514000.30550.93850.9378
0.033215.686316000.32210.94060.9408
0.023217.647118000.33180.93440.9345
0.020519.607820000.32300.93850.9385

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.1.2
  • Datasets 2.19.2
  • Tokenizers 0.19.1