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---
license: apache-2.0
base_model: google/long-t5-tglobal-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: long-t5-tglobal-base-synthsumm-16384-v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# long-t5-tglobal-base-synthsumm-16384-v2
This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4378
- Rouge1: 48.0918
- Rouge2: 21.2531
- Rougel: 34.4307
- Rougelsum: 43.0271
- Gen Len: 84.5231
## 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: 0.0003
- train_batch_size: 1
- eval_batch_size: 1
- seed: 26605
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: inverse_sqrt
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| 1.9183 | 0.38 | 125 | 1.5762 | 38.7221 | 15.0873 | 28.3123 | 34.9655 | 129.2154 |
| 1.8815 | 0.77 | 250 | 1.5230 | 44.3531 | 17.9384 | 31.7417 | 39.5563 | 87.3538 |
| 1.7264 | 1.15 | 375 | 1.4735 | 45.7781 | 20.102 | 33.329 | 41.4737 | 101.9231 |
| 1.8545 | 1.54 | 500 | 1.4505 | 47.0134 | 20.6159 | 33.6118 | 41.6579 | 88.2308 |
| 1.7444 | 1.92 | 625 | 1.4378 | 48.0918 | 21.2531 | 34.4307 | 43.0271 | 84.5231 |
### Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0
- Datasets 2.15.0
- Tokenizers 0.15.0
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