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Bert_Stacked_model_60

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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_60
    results: []

Bert_Stacked_model_60

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: 1.1161
  • F1: 0.5697

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
1.177 1.0 946 1.1209 0.5579
1.1217 2.0 1892 1.1077 0.5630
1.08 3.0 2838 1.1049 0.5681
1.0495 4.0 3784 1.1135 0.5669
1.035 5.0 4730 1.1161 0.5697

Framework versions

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