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Bert_Stacked_model_100

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metadata
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: Bert_Stacked_model_100
    results: []

Bert_Stacked_model_100

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

  • Loss: 1.0900
  • F1: 0.5763

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: 1e-05
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss F1
1.2512 1.0 1576 1.1782 0.5162
1.1867 2.0 3152 1.1234 0.5530
1.1324 3.0 4728 1.1007 0.5673
1.1078 4.0 6304 1.0969 0.5690
1.09 5.0 7880 1.0900 0.5763

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.1
  • Tokenizers 0.19.1