---
license: apache-2.0
base_model: google/mt5-large
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: cs_mT5-large2_0.01_50_v0.1
  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. -->

# cs_mT5-large2_0.01_50_v0.1

This model is a fine-tuned version of [google/mt5-large](https://huggingface.co/google/mt5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 7.9807
- Bleu: 0.6899
- 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: 0.01
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 2.6703        | 1.0   | 6    | 8.3163          | 0.0    | 19.0    |
| 3.3427        | 2.0   | 12   | 6.5085          | 0.5004 | 19.0    |
| 2.8652        | 3.0   | 18   | 7.0200          | 0.6899 | 19.0    |
| 2.9454        | 4.0   | 24   | 7.3333          | 0.2191 | 19.0    |
| 2.7918        | 5.0   | 30   | 7.5745          | 0.4671 | 12.0    |
| 3.5645        | 6.0   | 36   | 6.3676          | 0.0    | 19.0    |
| 3.0885        | 7.0   | 42   | 7.0359          | 0.6908 | 19.0    |
| 3.5374        | 8.0   | 48   | 6.8709          | 0.1154 | 12.3333 |
| 3.3746        | 9.0   | 54   | 6.4090          | 0.0    | 19.0    |
| 2.5927        | 10.0  | 60   | 6.7357          | 0.6381 | 19.0    |
| 2.581         | 11.0  | 66   | 6.5953          | 0.2635 | 19.0    |
| 4.1786        | 12.0  | 72   | 7.8617          | 0.2068 | 19.0    |
| 2.8545        | 13.0  | 78   | 6.2553          | 0.1628 | 19.0    |
| 2.8925        | 14.0  | 84   | 6.6297          | 0.612  | 19.0    |
| 3.2424        | 15.0  | 90   | 7.0312          | 0.7377 | 19.0    |
| 2.379         | 16.0  | 96   | 6.9121          | 0.6562 | 19.0    |
| 2.2356        | 17.0  | 102  | 6.9446          | 0.2759 | 15.0    |
| 3.0548        | 18.0  | 108  | 7.5770          | 0.1529 | 19.0    |
| 2.4637        | 19.0  | 114  | 7.1444          | 0.4497 | 19.0    |
| 2.96          | 20.0  | 120  | 6.8181          | 0.3779 | 11.0    |
| 2.2016        | 21.0  | 126  | 6.6893          | 0.6562 | 19.0    |
| 1.9774        | 22.0  | 132  | 7.3802          | 0.3807 | 19.0    |
| 1.6734        | 23.0  | 138  | 6.7319          | 0.5405 | 19.0    |
| 3.1958        | 24.0  | 144  | 7.1645          | 1.2379 | 19.0    |
| 3.1363        | 25.0  | 150  | 7.7097          | 0.3794 | 19.0    |
| 2.4353        | 26.0  | 156  | 6.9324          | 0.2522 | 14.0    |
| 2.8675        | 27.0  | 162  | 6.7989          | 0.1488 | 19.0    |
| 1.7486        | 28.0  | 168  | 7.1052          | 0.7123 | 19.0    |
| 2.775         | 29.0  | 174  | 7.0195          | 0.7393 | 19.0    |
| 1.8752        | 30.0  | 180  | 6.9133          | 0.2119 | 19.0    |
| 1.7576        | 31.0  | 186  | 7.2143          | 0.2641 | 19.0    |
| 2.2793        | 32.0  | 192  | 7.0029          | 1.1166 | 19.0    |
| 1.98          | 33.0  | 198  | 6.9954          | 0.5348 | 19.0    |
| 1.4242        | 34.0  | 204  | 7.5163          | 0.2088 | 19.0    |
| 2.413         | 35.0  | 210  | 7.0622          | 0.1433 | 19.0    |
| 1.2191        | 36.0  | 216  | 7.0088          | 0.5307 | 12.0    |
| 1.5944        | 37.0  | 222  | 7.7706          | 0.1948 | 19.0    |
| 1.0044        | 38.0  | 228  | 7.7163          | 0.8485 | 18.4286 |
| 1.4428        | 39.0  | 234  | 7.4919          | 0.6033 | 19.0    |
| 3.0175        | 40.0  | 240  | 7.4158          | 0.5109 | 19.0    |
| 1.3632        | 41.0  | 246  | 6.9819          | 0.4326 | 11.0    |
| 1.8384        | 42.0  | 252  | 7.0156          | 0.6215 | 18.2381 |
| 1.3237        | 43.0  | 258  | 7.2082          | 0.4826 | 19.0    |
| 1.1516        | 44.0  | 264  | 7.5088          | 0.4745 | 18.8571 |
| 1.3893        | 45.0  | 270  | 7.7298          | 0.4527 | 19.0    |
| 1.0125        | 46.0  | 276  | 7.8458          | 0.832  | 14.0    |
| 0.8954        | 47.0  | 282  | 7.9101          | 0.7754 | 17.5714 |
| 1.8111        | 48.0  | 288  | 7.9713          | 0.6899 | 19.0    |
| 1.2008        | 49.0  | 294  | 7.9821          | 0.6899 | 19.0    |
| 1.5131        | 50.0  | 300  | 7.9807          | 0.6899 | 19.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 1.13.1+cu117
- Datasets 2.17.0
- Tokenizers 0.15.2