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metadata
base_model: huawei-noah/TinyBERT_General_4L_312D
tags:
  - generated_from_trainer
datasets:
  - eli5_category
model-index:
  - name: language-modeling-model
    results: []

language-modeling-model

This model is a fine-tuned version of huawei-noah/TinyBERT_General_4L_312D on the eli5_category dataset. It achieves the following results on the evaluation set:

  • Loss: 2.1154

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

Training results

Training Loss Epoch Step Validation Loss
5.4319 1.0 577 3.3643
3.1995 2.0 1154 2.3525
2.5319 3.0 1731 2.1154

Framework versions

  • Transformers 4.40.0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1