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finetuned_roberta_large_custom

This model is a fine-tuned version of deepset/roberta-large-squad2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.5061

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: 5e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss
2.082 1.0 600 1.7062
1.6404 2.0 1200 2.7324
1.3663 3.0 1800 2.0644
0.8431 4.0 2400 2.3039

Framework versions

  • Transformers 4.37.0
  • Pytorch 2.1.2
  • Datasets 2.1.0
  • Tokenizers 0.15.1
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Model size
354M params
Tensor type
F32

Finetuned from