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bert-base-cased-sft-glue-mrpc

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metadata
license: apache-2.0
base_model: bert-base-cased
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: bert-base-cased-sft-glue-mrpc
    results: []

bert-base-cased-sft-glue-mrpc

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: 0.3643
  • Accuracy: 0.8529
  • F1: 0.8929

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: 5e-05
  • train_batch_size: 128
  • eval_batch_size: 128
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
No log 0 0 0.7681 0.3162 0.0
No log 1.0 29 0.5222 0.7475 0.8413
No log 2.0 58 0.3570 0.8456 0.8840
No log 3.0 87 0.3643 0.8529 0.8929

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1