README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: bert-uncased-base

bert-uncased-base

This model is a fine-tuned version of bert-base-uncased on an Reddit-dialogue dataset. This model can be used for Text Classification: Given two sentences，see if they are related. It achieves the following results on the evaluation set:

• Loss: 0.2297
• Accuracy: 0.9267

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 320
• eval_batch_size: 80
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5.0

Training results

Framework versions

• Transformers 4.16.0.dev0
• Pytorch 1.10.1+cu102
• Datasets 1.17.0
• Tokenizers 0.11.0