metadata
license: mit
base_model: VietAI/vit5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mymodel_base_60k_normal
results: []
mymodel_base_60k_normal
This model is a fine-tuned version of VietAI/vit5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7929
- Rouge1: 0.4579
- Rouge2: 0.2234
- Rougel: 0.3299
- Rougelsum: 0.3298
- Gen Len: 18.9966
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: 0.0002
- 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.0728 | 1.0 | 3125 | 1.9253 | 0.4466 | 0.2094 | 0.3195 | 0.3195 | 18.9946 |
| 1.7118 | 2.0 | 6250 | 1.8045 | 0.4536 | 0.2165 | 0.3247 | 0.3246 | 18.9975 |
| 1.3719 | 3.0 | 9375 | 1.7929 | 0.4579 | 0.2234 | 0.3299 | 0.3298 | 18.9966 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0