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metadata
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: distilbert-base-cased-finetuned
    results: []

distilbert-base-cased-finetuned

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

  • Loss: 1.9161

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: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
2.3101 1.0 974 2.0502
2.0831 2.0 1948 1.9627
2.0198 3.0 2922 1.8998

Framework versions

  • Transformers 4.12.5
  • Pytorch 1.9.1
  • Datasets 1.16.1
  • Tokenizers 0.10.3