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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - emotion
model-index:
  - name: distilbert-base-uncased-finetuned-emotion
    results: []

distilbert-base-uncased-finetuned-emotion

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

  • eval_loss: 0.3181
  • eval_accuracy: 0.902
  • eval_f1: 0.8982
  • eval_runtime: 1.1006
  • eval_samples_per_second: 1817.111
  • eval_steps_per_second: 29.074
  • epoch: 1.0
  • step: 250

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: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Framework versions

  • Transformers 4.22.2
  • Pytorch 1.10.0
  • Datasets 2.7.1
  • Tokenizers 0.12.1