Hugging Face's logo

tiagoblima
/
newsdata-bert

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Community
newsdata-bert / README.md
tiagoblima's picture
tiagoblima
End of training
877f461 verified
preview code
|
raw
history blame
No virus
1.53 kB
metadata
license: apache-2.0
base_model: bert-base-cased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: newsdata-bert
    results: []

newsdata-bert

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

  • Loss: 0.5569
  • Accuracy: 0.8447

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: 4
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.8762 0.2749 2000 0.7835 0.7864
0.6718 0.5498 4000 0.6341 0.8259
0.5852 0.8247 6000 0.5569 0.8447

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1