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roberta-base-finetuned-osdg

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

  • eval_loss: 0.8286
  • eval_Acc: 0.7746
  • eval_runtime: 27.6597
  • eval_samples_per_second: 116.126
  • eval_steps_per_second: 3.652
  • epoch: 1.0
  • step: 904

Model description

The model is trained on the data from OSDG (https://osdg.ai/)

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-06
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.11.0+cu113
  • Datasets 2.1.0
  • Tokenizers 0.12.1
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