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End of training
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metadata
license: apache-2.0
base_model: google/bigbird-roberta-base
tags:
  - generated_from_trainer
datasets:
  - squad_v2
model-index:
  - name: bigbird-QA-squad_v2.4
    results: []

bigbird-QA-squad_v2.4

This model is a fine-tuned version of google/bigbird-roberta-base on the squad_v2 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8951

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: 3e-05
  • train_batch_size: 8
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 32
  • total_train_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 244
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
1.3245 1.0 407 1.1746
1.0089 2.0 814 0.9133
0.8408 3.0 1221 0.8951

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.1