transformers pytorch longt5 text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: longt5_xl_govreport_4096_memsum_e40
  results: []
---

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# longt5_xl_govreport_4096_memsum_e40

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2660

## 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: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0471        | 1.0   | 68   | 3.0440          |
| 0.0441        | 1.99  | 136  | 3.1307          |
| 0.0442        | 2.99  | 204  | 3.0580          |
| 0.0441        | 3.99  | 272  | 3.0966          |
| 0.0411        | 5.0   | 341  | 3.1067          |
| 0.0362        | 6.0   | 409  | 3.2206          |
| 0.0411        | 6.99  | 477  | 3.1567          |
| 0.0393        | 7.99  | 545  | 3.2550          |
| 0.0384        | 8.99  | 613  | 3.2910          |
| 0.0349        | 9.97  | 680  | 3.2660          |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
