---
license: apache-2.0
base_model: google/long-t5-tglobal-base
tags:
- generated_from_trainer
model-index:
- name: long-t5-tglobal-base-finetuned-justification-v02
  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. -->

# long-t5-tglobal-base-finetuned-justification-v02

This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan

## 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: 2e-07
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 65   | nan             |
| No log        | 2.0   | 130  | nan             |
| No log        | 3.0   | 195  | nan             |
| No log        | 4.0   | 260  | nan             |
| No log        | 5.0   | 325  | nan             |
| No log        | 6.0   | 390  | nan             |
| No log        | 7.0   | 455  | nan             |
| 22.0508       | 8.0   | 520  | nan             |
| 22.0508       | 9.0   | 585  | nan             |
| 22.0508       | 10.0  | 650  | nan             |
| 22.0508       | 11.0  | 715  | nan             |
| 22.0508       | 12.0  | 780  | nan             |
| 22.0508       | 13.0  | 845  | nan             |
| 22.0508       | 14.0  | 910  | nan             |
| 22.0508       | 15.0  | 975  | nan             |
| 0.0           | 16.0  | 1040 | nan             |
| 0.0           | 17.0  | 1105 | nan             |
| 0.0           | 18.0  | 1170 | nan             |
| 0.0           | 19.0  | 1235 | nan             |
| 0.0           | 20.0  | 1300 | nan             |
| 0.0           | 21.0  | 1365 | nan             |
| 0.0           | 22.0  | 1430 | nan             |
| 0.0           | 23.0  | 1495 | nan             |
| 0.0           | 24.0  | 1560 | nan             |
| 0.0           | 25.0  | 1625 | nan             |
| 0.0           | 26.0  | 1690 | nan             |
| 0.0           | 27.0  | 1755 | nan             |
| 0.0           | 28.0  | 1820 | nan             |
| 0.0           | 29.0  | 1885 | nan             |
| 0.0           | 30.0  | 1950 | nan             |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2