---
license: apache-2.0
base_model: google/mt5-large
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: cs_mT5-large2_2e-5_50_v0.3
  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_2e-5_50_v0.3

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: 10.7179
- Bleu: 8.2299
- 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 22.4209       | 1.0   | 6    | 14.7377         | 5.6697 | 19.0    |
| 20.671        | 2.0   | 12   | 14.9637         | 6.7619 | 19.0    |
| 17.7208       | 3.0   | 18   | 14.6564         | 5.3777 | 19.0    |
| 22.9549       | 4.0   | 24   | 15.1568         | 6.7736 | 19.0    |
| 16.6185       | 5.0   | 30   | 14.1533         | 7.0263 | 19.0    |
| 22.1158       | 6.0   | 36   | 15.0667         | 7.1851 | 19.0    |
| 24.587        | 7.0   | 42   | 15.5166         | 7.6752 | 19.0    |
| 16.4955       | 8.0   | 48   | 14.5515         | 7.5521 | 19.0    |
| 21.0521       | 9.0   | 54   | 13.0890         | 7.7939 | 19.0    |
| 16.1149       | 10.0  | 60   | 11.8305         | 7.7866 | 19.0    |
| 12.8454       | 11.0  | 66   | 11.8727         | 7.7197 | 19.0    |
| 18.482        | 12.0  | 72   | 11.6011         | 7.5761 | 19.0    |
| 18.6175       | 13.0  | 78   | 11.8911         | 7.7925 | 19.0    |
| 12.6805       | 14.0  | 84   | 11.8462         | 7.3764 | 19.0    |
| 14.3151       | 15.0  | 90   | 11.4554         | 7.6604 | 19.0    |
| 17.2287       | 16.0  | 96   | 11.1727         | 8.0204 | 19.0    |
| 16.3546       | 17.0  | 102  | 10.7514         | 8.0859 | 19.0    |
| 16.3339       | 18.0  | 108  | 11.1960         | 8.1381 | 19.0    |
| 16.6065       | 19.0  | 114  | 11.3321         | 8.126  | 19.0    |
| 14.3851       | 20.0  | 120  | 10.9074         | 6.3032 | 19.0    |
| 15.8189       | 21.0  | 126  | 10.5179         | 6.3626 | 19.0    |
| 8.4543        | 22.0  | 132  | 10.6037         | 6.3223 | 19.0    |
| 18.0304       | 23.0  | 138  | 10.3665         | 6.236  | 19.0    |
| 13.1475       | 24.0  | 144  | 10.3107         | 7.4434 | 19.0    |
| 21.3407       | 25.0  | 150  | 10.2976         | 7.4596 | 19.0    |
| 15.8901       | 26.0  | 156  | 10.4723         | 7.2047 | 19.0    |
| 13.3029       | 27.0  | 162  | 10.7863         | 7.2047 | 19.0    |
| 9.6205        | 28.0  | 168  | 11.2429         | 7.2047 | 19.0    |
| 15.4244       | 29.0  | 174  | 11.5663         | 7.1797 | 19.0    |
| 10.8496       | 30.0  | 180  | 11.9665         | 7.1839 | 19.0    |
| 16.4213       | 31.0  | 186  | 12.3102         | 7.1002 | 19.0    |
| 19.9358       | 32.0  | 192  | 12.3951         | 7.1693 | 19.0    |
| 13.9974       | 33.0  | 198  | 12.6037         | 7.1693 | 19.0    |
| 18.1208       | 34.0  | 204  | 12.4725         | 7.0996 | 19.0    |
| 10.2059       | 35.0  | 210  | 12.1561         | 7.286  | 19.0    |
| 15.9016       | 36.0  | 216  | 11.9896         | 7.286  | 19.0    |
| 16.7008       | 37.0  | 222  | 11.4571         | 8.4159 | 19.0    |
| 14.4533       | 38.0  | 228  | 11.1535         | 8.4159 | 19.0    |
| 15.1107       | 39.0  | 234  | 11.1553         | 8.4159 | 19.0    |
| 13.2587       | 40.0  | 240  | 11.0539         | 7.2709 | 19.0    |
| 14.9836       | 41.0  | 246  | 11.3945         | 7.1574 | 19.0    |
| 13.083        | 42.0  | 252  | 11.3690         | 7.1948 | 19.0    |
| 24.9864       | 43.0  | 258  | 11.2586         | 8.2299 | 19.0    |
| 22.1657       | 44.0  | 264  | 11.1126         | 8.2299 | 19.0    |
| 15.6887       | 45.0  | 270  | 11.0112         | 8.2299 | 19.0    |
| 8.581         | 46.0  | 276  | 10.8892         | 8.2299 | 19.0    |
| 14.0141       | 47.0  | 282  | 10.8514         | 8.2299 | 19.0    |
| 11.8402       | 48.0  | 288  | 10.8129         | 8.2299 | 19.0    |
| 14.7845       | 49.0  | 294  | 10.7252         | 8.2299 | 19.0    |
| 18.8443       | 50.0  | 300  | 10.7179         | 8.2299 | 19.0    |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2