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End of training
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metadata
license: mit
base_model: roberta-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: roberta-base-riddle-finetuned_new_3choice
    results: []

roberta-base-riddle-finetuned_new_3choice

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

  • Loss: 0.1949
  • Accuracy: 0.875

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: 0.0005
  • 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: 15

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 12 0.4873 0.7250
No log 2.0 24 0.3075 0.8000
No log 3.0 36 0.4185 0.8000
No log 4.0 48 0.3031 0.8250
No log 5.0 60 0.3392 0.8250
No log 6.0 72 0.3420 0.8500
No log 7.0 84 0.3509 0.8250
No log 8.0 96 0.3089 0.8500
No log 9.0 108 0.2797 0.8250
No log 10.0 120 0.2378 0.8000
No log 11.0 132 0.2622 0.875
No log 12.0 144 0.2334 0.9000
No log 13.0 156 0.2314 0.9000
No log 14.0 168 0.1987 0.875
No log 15.0 180 0.1949 0.875

Framework versions

  • Transformers 4.37.2
  • Pytorch 1.13.1+cu117
  • Datasets 2.16.1
  • Tokenizers 0.15.0