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metadata
license: apache-2.0
tags:
  - generated_from_trainer
base_model: bert-base-uncased
model-index:
  - name: bert-base-uncased-finetuned-news-2020-2023
    results: []

bert-base-uncased-finetuned-news-2020-2023

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.8049

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
3.2019 1.0 6032 2.9056
3.0959 2.0 12064 2.8088
3.0612 3.0 18096 2.8093

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.2
  • Tokenizers 0.19.1