---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-large_V8901_V89881_V17542
  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. -->

# mt5-large_V8901_V89881_V17542

This model is a fine-tuned version of [emilstabil/mt5-large_V8901_V89881](https://huggingface.co/emilstabil/mt5-large_V8901_V89881) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7588
- Rouge1: 27.8059
- Rouge2: 10.1962
- Rougel: 15.3479
- Rougelsum: 26.1829
- Gen Len: 540.9451

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 11

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| 1.871         | 2.11  | 500  | 1.7570          | 27.3094 | 9.9205  | 15.0662 | 25.6006   | 544.1983 |
| 1.7982        | 4.21  | 1000 | 1.7661          | 27.6824 | 9.8242  | 15.2022 | 25.9032   | 537.4388 |
| 1.7311        | 6.32  | 1500 | 1.7713          | 27.3113 | 9.6774  | 14.9355 | 25.6303   | 539.827  |
| 1.7432        | 8.42  | 2000 | 1.7636          | 27.8775 | 10.0766 | 15.1629 | 26.1014   | 537.5359 |
| 1.7775        | 10.53 | 2500 | 1.7588          | 27.8059 | 10.1962 | 15.3479 | 26.1829   | 540.9451 |


### Framework versions

- Transformers 4.30.2
- Pytorch 1.12.1+git7548e2f
- Datasets 2.13.2
- Tokenizers 0.13.3