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metadata
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: distilroberta-current
    results: []

distilroberta-current

This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1745
  • Acc: 0.9355

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: 8
  • eval_batch_size: 8
  • seed: 12345
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 16
  • num_epochs: 20
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Acc
No log 1.0 11 0.6559 0.7097
0.6762 2.0 22 0.5627 0.7097
0.5432 3.0 33 0.4606 0.7097
0.5432 4.0 44 0.3651 0.8065
0.411 5.0 55 0.2512 0.9194
0.269 6.0 66 0.2774 0.9355
0.269 7.0 77 0.2062 0.8710
0.2294 8.0 88 0.2598 0.9355
0.1761 9.0 99 0.1745 0.9355

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.10.1
  • Datasets 1.17.0
  • Tokenizers 0.10.3