fine-tuning-vit5-mlgsum-gelu
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: 2.1556
- Rouge1: 50.5193
- Rouge2: 21.2954
- Rougel: 33.6144
- Rougelsum: 33.9444
- Gen Len: 22.7724
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.2549 | 1.0 | 5972 | 2.1928 | 50.2908 | 20.6038 | 33.1745 | 33.4632 | 22.7732 |
| 2.118 | 2.0 | 11944 | 2.1566 | 50.1299 | 21.0429 | 33.4773 | 33.7977 | 22.7204 |
| 1.9907 | 3.0 | 17916 | 2.1556 | 50.5193 | 21.2954 | 33.6144 | 33.9444 | 22.7724 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for baovox/fine-tuning-vit5-mlgsum-gelu
Base model
VietAI/vit5-base