Elron/deberta-v3-large-irony

deberta-v3-large-irony

This model is a fine-tuned version of microsoft/deberta-v3-large on an tweet_eval dataset.

Model description

Test set results:

source:papers_with_code

Intended uses & limitations

Classifying attributes of interest on tweeter like data.

Training and evaluation data

tweet_eval dataset.

Training procedure

Fine tuned and evaluated with [run_glue.py]()

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 8e-06
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 50
• —num_epochs: 10.0
• —labelsmoothingfactor: 0.1

Training results

Framework versions

• —Transformers 4.20.0.dev0
• —Pytorch 1.9.0
• —Datasets 2.2.2
• —Tokenizers 0.11.6