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metadata
license: apache-2.0
tags:
  - generated_from_trainer
base_model: distilbert-base-uncased
model-index:
  - name: distilbert-base-uncased-finetuned-indosquad-v2
    results: []

distilbert-base-uncased-finetuned-indosquad-v2

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

  • Loss: 1.6650

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: 16
  • eval_batch_size: 16
  • 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
1.9015 1.0 9676 1.5706
1.6438 2.0 19352 1.5926
1.4714 3.0 29028 1.5253
1.3486 4.0 38704 1.6650

Framework versions

  • Transformers 4.12.5
  • Pytorch 1.10.0+cu111
  • Datasets 1.15.1
  • Tokenizers 0.10.3