t5_long_tglobal_base_samsum
This model is a fine-tuned version of google/long-t5-tglobal-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 22.7827
- Rouge2: 4.9292
- Rougel: 19.0267
- Rougelsum: 19.9561
- Bleu: 0.0
- Meteor: 0.1307
- Gen Len: 17.4725
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu | Meteor | Gen Len |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.1925 | 0.9997 | 1841 | nan | 22.7827 | 4.9292 | 19.0267 | 19.9561 | 0.0 | 0.1307 | 17.4725 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Base model
google/long-t5-tglobal-base