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: 0.2242
eval_accuracy: 0.927
eval_f1: 0.9271
eval_runtime: 89.316
eval_samples_per_second: 22.392
eval_steps_per_second: 0.358
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 4.16.2
Pytorch 1.10.2+cpu
Datasets 1.18.3
Tokenizers 0.11.0