---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-large-gramatika161k-b16-lr0.001
  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-gramatika161k-b16-lr0.001

This model is a fine-tuned version of [google/mt5-large](https://huggingface.co/google/mt5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1429
- Rouge1: 71.0622
- Rouge2: 65.0219
- Rougel: 70.921
- Rougelsum: 70.9407
- Gen Len: 18.3295

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adafactor
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.3954        | 0.63  | 5000  | 0.1851          | 69.5715 | 62.3503 | 69.3784 | 69.3899   | 18.3461 |
| 0.1746        | 1.27  | 10000 | 0.1537          | 70.6244 | 64.1779 | 70.4518 | 70.4717   | 18.3410 |
| 0.123         | 1.9   | 15000 | 0.1429          | 71.0622 | 65.0219 | 70.921  | 70.9407   | 18.3295 |
| 0.0758        | 2.54  | 20000 | 0.1468          | 71.5151 | 65.7486 | 71.3742 | 71.3959   | 18.3246 |
| 0.0568        | 3.17  | 25000 | 0.1603          | 71.6869 | 66.1031 | 71.5594 | 71.5794   | 18.3302 |
| 0.0327        | 3.81  | 30000 | 0.1556          | 71.9011 | 66.4738 | 71.7817 | 71.8013   | 18.3311 |
| 0.0196        | 4.44  | 35000 | 0.1782          | 72.0041 | 66.6645 | 71.886  | 71.9038   | 18.3293 |


### Framework versions

- Transformers 4.30.1
- Pytorch 1.11.0a0+b6df043
- Datasets 2.12.0
- Tokenizers 0.13.3