Edit model card

irony_trained_31415

This model is a fine-tuned version of distilbert-base-uncased on the tweet_eval dataset. It achieves the following results on the evaluation set:

  • Loss: 1.6608
  • F1: 0.6690

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: 2.6774391860025942e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 31415
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss F1
0.6547 1.0 716 0.6173 0.6508
0.57 2.0 1432 0.8629 0.6577
0.2955 3.0 2148 1.4836 0.6722
0.1903 4.0 2864 1.6608 0.6690

Framework versions

  • Transformers 4.12.5
  • Pytorch 1.9.1
  • Datasets 1.16.1
  • Tokenizers 0.10.3
Downloads last month
6
Hosted inference API
Text Classification
Examples
Examples
This model can be loaded on the Inference API on-demand.

Dataset used to train aXhyra/irony_trained_31415

Evaluation results