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
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