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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  name: bert-base-uncased-finetuned-semeval2020-task4a-append-e2-b32-l5e5

bert-base-uncased-finetuned-semeval2020-task4a-append-e2-b32-l5e5

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

  • Loss: 0.5466
  • Accuracy: 0.8890

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: 4e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 344 0.3057 0.8630
0.4091 2.0 688 0.2964 0.8880
0.1322 3.0 1032 0.4465 0.8820
0.1322 4.0 1376 0.5466 0.8890

Framework versions

  • Transformers 4.12.3
  • Pytorch 1.9.1
  • Datasets 1.12.1
  • Tokenizers 0.10.3