susnato/TF-distilbert-base-uncased-finetuned-emotion

<!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -->

TF-distilbert-base-uncased-finetuned-emotion

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

• —Train Loss: 0.1580
• —Train Sparse Categorical Accuracy: 0.9355
• —Train F1 Score: 0.8737
• —Validation Loss: 0.1265
• —Validation Sparse Categorical Accuracy: 0.9365
• —Validation F1 Score: 0.8915
• —Epoch: 1

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:

• —optimizer: {'name': 'Adam', 'learningrate': 2e-05, 'decay': 0.0, 'beta1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• —training_precision: float32

Training results

Framework versions

• —Transformers 4.22.2
• —TensorFlow 2.10.0
• —Datasets 2.5.1
• —Tokenizers 0.12.1