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

roberta-base-finetuned-sdg

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

  • Loss: 0.4993
  • Acc: 0.9024

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: 64
  • eval_batch_size: 64
  • seed: 42
  • distributed_type: multi-GPU
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 8

Training results

Training Loss Epoch Step Validation Loss Acc
0.4679 1.0 254 0.3660 0.8963
0.3578 2.0 508 0.3689 0.9019
0.2739 3.0 762 0.3284 0.9035
0.1841 4.0 1016 0.3763 0.9019
0.1127 5.0 1270 0.4174 0.9024
0.0822 6.0 1524 0.4523 0.9013
0.0329 7.0 1778 0.4829 0.9030
0.0157 8.0 2032 0.4993 0.9024

Framework versions

  • Transformers 4.21.1
  • Pytorch 1.12.0a0+8a1a93a
  • Datasets 2.4.0
  • Tokenizers 0.12.1