go_emo_gpt / README.md
tingtone's picture
update model card README.md
0df79ab
|
raw
history blame
1.81 kB
metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - go_emotions
metrics:
  - f1
  - accuracy
model-index:
  - name: go_emo_gpt
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: go_emotions
          type: go_emotions
          config: simplified
          split: validation
          args: simplified
        metrics:
          - name: F1
            type: f1
            value: 0.5677001388246182
          - name: Accuracy
            type: accuracy
            value: 0.4480280132694434

go_emo_gpt

This model is a fine-tuned version of distilgpt2 on the go_emotions dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0902
  • F1: 0.5677
  • Roc Auc: 0.7357
  • Accuracy: 0.4480

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: 1e-05
  • train_batch_size: 2
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 4341
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss F1 Roc Auc Accuracy
0.0907 1.0 21705 0.0902 0.5677 0.7357 0.4480

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.13.1+cu117
  • Datasets 2.12.0
  • Tokenizers 0.13.3