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bert-small-finetuned-eurlex

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bert-small-finetuned-eurlex / README.md
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
base_model: google/bert_uncased_L-4_H-512_A-8
model-index:
  - name: bert_uncased_L-4_H-512_A-8-finetuned-eurlex
    results: []

bert_uncased_L-4_H-512_A-8-finetuned-eurlex

This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.9798
  • eval_runtime: 51.2571
  • eval_samples_per_second: 638.916
  • eval_steps_per_second: 79.872
  • epoch: 2.0
  • step: 62604

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Framework versions

  • Transformers 4.21.1
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1