da_distilbert / README.md
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metadata
license: apache-2.0
base_model: distilbert-base-cased
tags:
  - generated_from_trainer
model-index:
  - name: da_distilbert
    results: []

da_distilbert

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

  • Loss: 1.5269

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: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 130 1.6660
No log 2.0 260 1.6023
No log 3.0 390 1.5630
1.6694 4.0 520 1.5879
1.6694 5.0 650 1.5601

Framework versions

  • Transformers 4.40.0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1