---
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
should probably proofread and complete it, then remove this comment. -->

# 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: 3.6048

## 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: 25.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1855        | 0.97  | 14   | 2.5320          |
| 0.1635        | 1.95  | 28   | 2.4299          |
| 0.1272        | 2.99  | 43   | 2.9443          |
| 0.1113        | 3.97  | 57   | 2.8813          |
| 0.0819        | 4.94  | 71   | 3.0005          |
| 0.0782        | 5.98  | 86   | 3.0224          |
| 0.0588        | 6.96  | 100  | 3.1903          |
| 0.0729        | 8.0   | 115  | 2.5871          |
| 0.0473        | 8.97  | 129  | 3.2830          |
| 0.113         | 9.95  | 143  | 3.3443          |
| 0.0364        | 10.99 | 158  | 3.3243          |
| 0.0321        | 11.97 | 172  | 3.3962          |
| 0.0302        | 12.94 | 186  | 3.4508          |
| 0.0717        | 13.98 | 201  | 3.4166          |
| 0.0746        | 14.96 | 215  | 2.8975          |
| 0.0548        | 16.0  | 230  | 3.0853          |
| 0.0507        | 16.97 | 244  | 3.0706          |
| 0.0442        | 17.95 | 258  | 3.2759          |
| 0.0396        | 18.99 | 273  | 3.1962          |
| 0.0351        | 19.97 | 287  | 3.3108          |
| 0.0306        | 20.94 | 301  | 3.2607          |
| 0.0267        | 21.98 | 316  | 3.4015          |
| 0.1454        | 22.96 | 330  | 2.6912          |
| 0.0252        | 24.0  | 345  | 3.4576          |
| 0.0187        | 24.35 | 350  | 3.6048          |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2