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# longt5_xl_govreport_4096

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 gov_report dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3889

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6043        | 1.0   | 68   | 1.4757          |
| 1.4471        | 1.99  | 136  | 1.4020          |
| 1.315         | 2.99  | 204  | 1.3935          |
| 1.2098        | 3.99  | 272  | 1.3889          |
| 1.0888        | 4.99  | 340  | 1.4389          |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["tau/scrolls"], "base_model": "google/long-t5-tglobal-xl", "model-index": [{"name": "longt5_xl_govreport_4096", "results": []}]}
transformers pytorch longt5 text2text-generation generated_from_trainer dataset:tau/scrolls base_model:google/long-t5-tglobal-xl license:apache-2.0 autotrain_compatible endpoints_compatible region:us