---
library_name: transformers
license: apache-2.0
base_model: google/long-t5-tglobal-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: model
  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. -->

# model

This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9329
- Rouge: 0.1619
- Meteor: 0.1091

## 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: 0.00021414319413263157
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 3
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge  | Meteor |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 8.9561        | 0.1   | 25   | 2.1054          | 0.1332 | 0.0870 |
| 8.0871        | 0.2   | 50   | 2.0333          | 0.1512 | 0.0986 |
| 7.8116        | 0.3   | 75   | 2.0106          | 0.1457 | 0.0949 |
| 7.1444        | 0.4   | 100  | 1.9853          | 0.1500 | 0.0989 |
| 7.333         | 0.5   | 125  | 1.9705          | 0.1561 | 0.1057 |
| 6.8319        | 0.6   | 150  | 1.9586          | 0.1596 | 0.1088 |
| 7.2472        | 0.7   | 175  | 1.9541          | 0.1607 | 0.1078 |
| 7.7008        | 0.8   | 200  | 1.9407          | 0.1592 | 0.1083 |
| 7.3862        | 0.9   | 225  | 1.9361          | 0.1620 | 0.1096 |
| 6.6446        | 1.0   | 250  | 1.9329          | 0.1619 | 0.1091 |


### Framework versions

- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1