---
license: apache-2.0
base_model: google/long-t5-tglobal-xl
tags:
- generated_from_trainer
datasets:
- tau/scrolls
model-index:
- name: longt5_xl_sfd_20
  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_20

This model is a fine-tuned version of [google/long-t5-tglobal-xl](https://huggingface.co/google/long-t5-tglobal-xl) on the tau/scrolls summ_screen_fd dataset.
It achieves the following results on the evaluation set:
- Loss: 4.8167

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9377        | 0.97  | 14   | 2.7965          |
| 2.3247        | 1.95  | 28   | 2.2995          |
| 1.9943        | 2.99  | 43   | 2.3308          |
| 1.7056        | 3.97  | 57   | 2.3369          |
| 1.4471        | 4.94  | 71   | 2.5532          |
| 1.1932        | 5.98  | 86   | 2.6961          |
| 0.9199        | 6.96  | 100  | 2.6453          |
| 0.7571        | 8.0   | 115  | 3.0978          |
| 0.6287        | 8.97  | 129  | 3.1458          |
| 0.4939        | 9.95  | 143  | 3.5686          |
| 0.376         | 10.99 | 158  | 3.4260          |
| 0.313         | 11.97 | 172  | 3.9302          |
| 0.2562        | 12.94 | 186  | 3.7433          |
| 0.2051        | 13.98 | 201  | 3.9113          |
| 0.1802        | 14.96 | 215  | 4.0450          |
| 0.1378        | 16.0  | 230  | 3.9397          |
| 0.1546        | 16.97 | 244  | 4.3079          |
| 0.1375        | 17.95 | 258  | 4.5525          |
| 0.1005        | 18.99 | 273  | 4.9005          |
| 0.0808        | 19.48 | 280  | 4.8167          |


### Framework versions

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