metadata
license: mit
base_model: VietAI/vit5-base
tags:
- generated_from_trainer
model-index:
- name: Evidence_Retrieval_model_vit5_base_word
results: []
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: 0.6397
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 |
|---|---|---|---|
| 0.4933 | 1.0 | 1047 | 0.4052 |
| 0.3097 | 2.0 | 2094 | 0.3642 |
| 0.2483 | 3.0 | 3141 | 0.3796 |
| 0.1729 | 4.0 | 4188 | 0.5099 |
| 0.1394 | 5.0 | 5235 | 0.6397 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2