---
tags:
- generated_from_trainer
model-index:
- name: longt5_xl_sfd_bp_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_bp_40

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3318

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1033        | 0.97  | 14   | 3.1040          |
| 0.0836        | 1.95  | 28   | 3.0540          |
| 0.0717        | 2.99  | 43   | 2.9414          |
| 0.0614        | 3.97  | 57   | 3.0238          |
| 0.1275        | 4.94  | 71   | 2.8326          |
| 0.0511        | 5.98  | 86   | 3.0479          |
| 0.0666        | 6.96  | 100  | 3.1255          |
| 0.0398        | 8.0   | 115  | 3.2240          |
| 0.0396        | 8.97  | 129  | 3.1667          |
| 0.0466        | 9.95  | 143  | 3.2775          |
| 0.043         | 10.99 | 158  | 3.3289          |
| 0.0538        | 11.97 | 172  | 2.8202          |
| 0.028         | 12.94 | 186  | 3.4366          |
| 0.1056        | 13.98 | 201  | 3.3447          |
| 0.0303        | 14.96 | 215  | 3.0069          |
| 0.0234        | 16.0  | 230  | 3.3524          |
| 0.0263        | 16.97 | 244  | 3.2473          |
| 0.0225        | 17.95 | 258  | 3.3365          |
| 0.0225        | 18.99 | 273  | 3.4389          |
| 0.0211        | 19.48 | 280  | 3.3318          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0