transformers pytorch longt5 text2text-generation generated_from_trainer dataset:scrolls autotrain_compatible endpoints_compatible region:us
---
tags:
- generated_from_trainer
datasets:
- scrolls
model-index:
- name: longt5_xl_govreport_4096_e10
  results: []
---

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# longt5_xl_govreport_4096_e10

This model was trained from scratch on the scrolls dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6159

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9926        | 1.0   | 68   | 1.4697          |
| 0.8597        | 1.99  | 136  | 1.5038          |
| 0.7409        | 2.99  | 204  | 1.5914          |
| 0.6591        | 3.99  | 272  | 1.7937          |
| 0.7626        | 4.99  | 340  | 1.6159          |


### Framework versions

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