---
tags:
- generated_from_trainer
datasets:
- scrolls
model-index:
- name: longt5_xl_sfd_40
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# longt5_xl_sfd_40

This model was trained from scratch on the scrolls dataset.
It achieves the following results on the evaluation set:
- Loss: 5.3992

## 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: 20.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0878        | 0.97  | 14   | 4.5418          |
| 0.1058        | 1.95  | 28   | 4.8817          |
| 0.0493        | 2.99  | 43   | 5.1348          |
| 0.1315        | 3.97  | 57   | 5.5055          |
| 0.0384        | 4.94  | 71   | 5.3415          |
| 0.041         | 5.98  | 86   | 5.1510          |
| 0.0439        | 6.96  | 100  | 5.1317          |
| 0.0423        | 8.0   | 115  | 4.8478          |
| 0.0421        | 8.97  | 129  | 5.3170          |
| 0.0407        | 9.95  | 143  | 5.0650          |
| 0.0391        | 10.99 | 158  | 5.6211          |
| 0.0395        | 11.97 | 172  | 5.3323          |
| 0.0412        | 12.94 | 186  | 5.4325          |
| 0.0632        | 13.98 | 201  | 5.3180          |
| 0.0421        | 14.96 | 215  | 5.1413          |
| 0.0381        | 16.0  | 230  | 5.5675          |
| 0.0422        | 16.97 | 244  | 5.5748          |
| 0.0901        | 17.95 | 258  | 4.2179          |
| 0.0364        | 18.99 | 273  | 5.6566          |
| 0.0311        | 19.48 | 280  | 5.3992          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2