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

# my_awesome_dailymail_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: 1.7605
- Rouge1: 0.2044
- Rouge2: 0.1072
- Rougel: 0.1751
- Rougelsum: 0.1748
- Gen Len: 19.0

## 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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 124  | 1.8435          | 0.1904 | 0.0914 | 0.1603 | 0.1602    | 19.0    |
| No log        | 2.0   | 248  | 1.7953          | 0.2033 | 0.1046 | 0.1733 | 0.1732    | 19.0    |
| No log        | 3.0   | 372  | 1.7681          | 0.2042 | 0.1061 | 0.1753 | 0.175     | 19.0    |
| No log        | 4.0   | 496  | 1.7605          | 0.2044 | 0.1072 | 0.1751 | 0.1748    | 19.0    |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1