---
tags:
- generated_from_trainer
model-index:
- name: results_mt5_xl-sum_new
  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. -->

# results_mt5_xl-sum_new

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1566

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.2671        | 1.7058 | 500  | 1.1705          |
| 1.2374        | 3.4115 | 1000 | 1.1640          |
| 1.222         | 5.1173 | 1500 | 1.1602          |
| 1.2051        | 6.8230 | 2000 | 1.1569          |
| 1.1955        | 8.5288 | 2500 | 1.1566          |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1