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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - squad
model-index:
  - name: albert-base-v2-finetuned-squad
    results: []

albert-base-v2-finetuned-squad

This model is a fine-tuned version of albert-base-v2 on the squad dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9901

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
0.8584 1.0 5540 0.9056
0.6473 2.0 11080 0.8975
0.4801 3.0 16620 0.9901

Framework versions

  • Transformers 4.15.0
  • Pytorch 1.10.1
  • Datasets 1.17.0
  • Tokenizers 0.10.3