Edit model card

sentiment-model-sample-27go-emotion

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

  • Loss: 4.1765
  • Accuracy: 0.5889

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
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 50

Training results

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.10.0+cu111
  • Datasets 2.0.0
  • Tokenizers 0.12.0
Downloads last month
65
Hosted inference API
Text Classification
Examples
Examples
This model can be loaded on the Inference API on-demand.

Dataset used to train jkhan447/sentiment-model-sample-27go-emotion

Evaluation results