README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - go_emotions
metrics:
  - accuracy
model-index:
  - name: sentiment-model-sample-27go-emotion
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: go_emotions
          type: go_emotions
          args: simplified
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.5888888888888889

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