---
tags:
- generated_from_trainer
model-index:
- name: longt5_xl_gov_memsum_25
  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. -->

# longt5_xl_gov_memsum_25

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3918

## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 15.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4372        | 1.0   | 68   | 1.6270          |
| 0.3678        | 1.99  | 136  | 1.8330          |
| 0.3026        | 2.99  | 204  | 1.8467          |
| 0.2785        | 3.99  | 272  | 1.9830          |
| 0.2489        | 5.0   | 341  | 2.1279          |
| 0.181         | 6.0   | 409  | 2.2981          |
| 0.1753        | 6.99  | 477  | 2.3683          |
| 0.1511        | 7.99  | 545  | 2.3130          |
| 0.1483        | 8.99  | 613  | 2.5342          |
| 0.2277        | 10.0  | 682  | 2.3054          |
| 0.1952        | 10.99 | 750  | 2.2331          |
| 0.1773        | 11.99 | 818  | 2.1944          |
| 0.1524        | 12.99 | 886  | 2.3607          |
| 0.1373        | 14.0  | 955  | 2.3946          |
| 0.1238        | 14.95 | 1020 | 2.3918          |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2