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_e30
  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_govreport_4096_memsum_e30

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9364

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1073        | 1.0   | 68   | 2.4897          |
| 0.0937        | 1.99  | 136  | 2.7041          |
| 0.0879        | 2.99  | 204  | 2.6437          |
| 0.0821        | 3.99  | 272  | 2.8059          |
| 0.0693        | 5.0   | 341  | 2.9269          |
| 0.0675        | 6.0   | 409  | 2.8654          |
| 0.0622        | 6.99  | 477  | 2.9698          |
| 0.065         | 7.99  | 545  | 2.8929          |
| 0.0578        | 8.99  | 613  | 2.9282          |
| 0.0528        | 9.97  | 680  | 2.9364          |


### Framework versions

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