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End of training
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metadata
license: apache-2.0
base_model: albert-base-v2
tags:
  - generated_from_trainer
model-index:
  - name: albert-base-qa-coQA-2-k-fold-1
    results: []

albert-base-qa-coQA-2-k-fold-1

This model is a fine-tuned version of albert-base-v2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.7108

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: 3

Training results

Training Loss Epoch Step Validation Loss
2.6589 1.0 5467 2.6679
2.3399 2.0 10934 2.6262
2.0179 3.0 16401 2.7108

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1