Evidence_Retrieval_model_vi_mrc
This model is a fine-tuned version of nguyenvulebinh/vi-mrc-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4764
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5132 | 1.0 | 524 | 0.3571 |
| 0.2579 | 2.0 | 1048 | 0.3149 |
| 0.1958 | 3.0 | 1572 | 0.3707 |
| 0.1473 | 4.0 | 2096 | 0.4362 |
| 0.1066 | 5.0 | 2620 | 0.4764 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for tringuyen-uit/Evidence_Retrieval_model_vi_mrc
Base model
nguyenvulebinh/vi-mrc-base