README.md

metadata

license: apache-2.0
base_model: google/electra-base-discriminator
tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: electra-base-discriminator-DIALOCONAN-WIKI-CLS
    results: []

electra-base-discriminator-DIALOCONAN-WIKI-CLS

This model is a fine-tuned version of google/electra-base-discriminator on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3833
• Precision: 0.7056
• Recall: 0.7083
• F1: 0.7067
• Accuracy: 0.9413

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: 3e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.2989	1.0	2500	0.4197	0.6917	0.6943	0.6919	0.9216
0.2046	2.0	5000	0.4013	0.7029	0.7052	0.7035	0.9368
0.1039	3.0	7500	0.3833	0.7056	0.7083	0.7067	0.9413

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1