electra-qa-3-finetuned-viet-qa

This model is a fine-tuned version of NlpHUST/electra-base-vn on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.5498
• eval_runtime: 98.1124
• eval_samples_per_second: 58.474
• eval_steps_per_second: 4.882
• epoch: 4.0
• step: 7648

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: 1e-05
• train_batch_size: 12
• eval_batch_size: 12
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Framework versions

• Transformers 4.23.0.dev0
• Pytorch 1.12.1+cu113
• Datasets 2.5.1
• Tokenizers 0.12.1