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---
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
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