---
license: apache-2.0
base_model: google/long-t5-tglobal-xl
tags:
- generated_from_trainer
datasets:
- learn3r/gov_report_memsum_oracle
model-index:
- name: longt5_xl_govreport_4096_memsum_e10
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# longt5_xl_govreport_4096_memsum_e10

This model is a fine-tuned version of [google/long-t5-tglobal-xl](https://huggingface.co/google/long-t5-tglobal-xl) on the learn3r/gov_report_memsum_oracle dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2380

## 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: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4775        | 1.0   | 68   | 1.2713          |
| 1.3081        | 1.99  | 136  | 1.2380          |
| 1.1811        | 2.99  | 204  | 1.2456          |
| 1.0752        | 3.99  | 272  | 1.2426          |
| 0.9663        | 5.0   | 341  | 1.2901          |
| 0.8607        | 6.0   | 409  | 1.3396          |
| 0.7462        | 6.99  | 477  | 1.3747          |
| 0.7084        | 7.99  | 545  | 1.4659          |
| 0.6155        | 8.99  | 613  | 1.5037          |
| 0.5435        | 9.97  | 680  | 1.5582          |


### Framework versions

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