README.md

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