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metadata
license: mit
tags:
  - generated_from_trainer
model-index:
  - name: roberta-base-finetuned-wikitext2
    results: []

roberta-base-finetuned-wikitext2

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5068

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: 1
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: IPU
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 64
  • total_eval_batch_size: 20
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0
  • training precision: Mixed Precision

Training results

Training Loss Epoch Step Validation Loss
1.571 1.0 300 1.5332
1.5725 2.0 600 1.5117
1.4742 3.0 900 1.5078

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.10.0+cpu
  • Datasets 2.7.1
  • Tokenizers 0.12.1