Evidence_Retrieval_model_vit5_base_word
This model is a fine-tuned version of VietAI/vit5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5457
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4579 | 1.0 | 1047 | 0.4647 |
| 0.306 | 2.0 | 2094 | 0.3441 |
| 0.2501 | 3.0 | 3141 | 0.3864 |
| 0.1737 | 4.0 | 4188 | 0.5220 |
| 0.1354 | 5.0 | 5235 | 0.5457 |
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_vit5_base_word
Base model
VietAI/vit5-base