---
license: apache-2.0
base_model: google/long-t5-tglobal-xl
tags:
- generated_from_trainer
datasets:
- learn3r/summ_screen_fd_bp
model-index:
- name: longt5_xl_sfd_bp_10
  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_10

This model is a fine-tuned version of [google/long-t5-tglobal-xl](https://huggingface.co./google/long-t5-tglobal-xl) on the learn3r/summ_screen_fd_bp dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8921

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3973        | 0.97  | 14   | 1.9027          |
| 1.9188        | 1.95  | 28   | 1.6941          |
| 1.4297        | 2.99  | 43   | 1.5011          |
| 1.2759        | 3.97  | 57   | 1.5048          |
| 1.1421        | 4.94  | 71   | 1.5463          |
| 0.9605        | 5.98  | 86   | 1.6270          |
| 0.8082        | 6.96  | 100  | 1.7646          |
| 0.664         | 8.0   | 115  | 1.7878          |
| 0.5471        | 8.97  | 129  | 1.9500          |
| 0.4349        | 9.95  | 143  | 1.9657          |
| 0.4338        | 10.99 | 158  | 2.1351          |
| 0.2887        | 11.97 | 172  | 2.1166          |
| 0.2753        | 12.94 | 186  | 2.4357          |
| 0.2114        | 13.98 | 201  | 2.5789          |
| 0.1805        | 14.96 | 215  | 2.6075          |
| 0.1543        | 16.0  | 230  | 2.5597          |
| 0.5166        | 16.97 | 244  | 2.5067          |
| 0.1117        | 17.95 | 258  | 2.8087          |
| 0.0895        | 18.99 | 273  | 2.7578          |
| 0.0779        | 19.48 | 280  | 2.8921          |


### Framework versions

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