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bert-plus-L8-4096-v1.0

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metadata
language:
  - en
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: bert-plus-embedderForMLM-goodwiki-deduped-split_4096-usecache
    results: []

bert-plus-embedderForMLM-goodwiki-deduped-split_4096-usecache

This model was trained from scratch on the BEE-spoke-data/goodwiki-deduped-split dataset. It achieves the following results on the evaluation set:

  • Loss: 1.9835
  • Accuracy: 0.6159

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: 0.0001
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 31010
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 1.0

Training results

Training Loss Epoch Step Validation Loss Accuracy
2.1283 0.25 150 2.0892 0.6018
2.0999 0.5 300 2.0387 0.6084
2.0595 0.75 450 1.9971 0.6143
2.0481 1.0 600 1.9893 0.6152

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.3.0.dev20240206+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1