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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
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
This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5355
- Rouge1: 0.4922
- Rouge2: 0.3075
- Rougel: 0.448
- Rougelsum: 0.4476
- Gen Len: 25.2419
## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.16 | 1.0 | 3200 | 1.6302 | 0.4745 | 0.2896 | 0.4315 | 0.4311 | 25.1044 |
| 1.9936 | 2.0 | 6400 | 1.5803 | 0.4888 | 0.3046 | 0.4468 | 0.4463 | 25.2094 |
| 1.8414 | 3.0 | 9600 | 1.5484 | 0.4905 | 0.3048 | 0.446 | 0.4455 | 25.695 |
| 1.8103 | 4.0 | 12800 | 1.5363 | 0.4903 | 0.3058 | 0.4464 | 0.4465 | 24.9725 |
| 1.7387 | 5.0 | 16000 | 1.5355 | 0.4922 | 0.3075 | 0.448 | 0.4476 | 25.2419 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
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