long-t5-tglobal-base-google-multimedia
This model is a fine-tuned version of QuangHuy54/long-t5-tglobal-base-google-multimedia on the multi_news dataset. It achieves the following results on the evaluation set:
- Loss: 1.9936
- Rouge1: 0.1004
- Rouge2: 0.0347
- Rougel: 0.078
- Rougelsum: 0.078
- Gen Len: 18.995
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.383 | 1.0 | 3000 | 1.9936 | 0.1004 | 0.0347 | 0.078 | 0.078 | 18.995 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3