transformers safetensors mt5 text2text-generation generated_from_trainer base_model:google/mt5-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: cs_mT5_0.01_100_v0.1
  results: []
---

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# cs_mT5_0.01_100_v0.1

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 7.2340
- Bleu: 0.3036
- 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: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 6.6837        | 1.0   | 6    | 11.3036         | 0.2013 | 19.0    |
| 8.0402        | 2.0   | 12   | 7.6042          | 0.0    | 19.0    |
| 5.7261        | 3.0   | 18   | 6.2715          | 0.1442 | 19.0    |
| 5.3416        | 4.0   | 24   | 6.1049          | 0.0    | 19.0    |
| 5.8512        | 5.0   | 30   | 5.9636          | 0.7212 | 19.0    |
| 5.5121        | 6.0   | 36   | 6.1024          | 0.0    | 19.0    |
| 5.4593        | 7.0   | 42   | 5.8880          | 0.0    | 19.0    |
| 5.9207        | 8.0   | 48   | 5.7795          | 0.1689 | 19.0    |
| 4.8391        | 9.0   | 54   | 5.8944          | 0.7212 | 19.0    |
| 5.0744        | 10.0  | 60   | 5.8163          | 0.7212 | 19.0    |
| 4.3596        | 11.0  | 66   | 5.6633          | 0.7212 | 19.0    |
| 4.4986        | 12.0  | 72   | 5.7046          | 0.7212 | 19.0    |
| 3.7398        | 13.0  | 78   | 5.7036          | 0.1689 | 19.0    |
| 4.3772        | 14.0  | 84   | 5.6193          | 0.7212 | 19.0    |
| 4.3643        | 15.0  | 90   | 5.6598          | 0.7212 | 19.0    |
| 4.1574        | 16.0  | 96   | 5.7247          | 0.7212 | 19.0    |
| 4.1304        | 17.0  | 102  | 5.7906          | 0.7212 | 19.0    |
| 4.1503        | 18.0  | 108  | 5.6421          | 0.1689 | 19.0    |
| 4.769         | 19.0  | 114  | 5.5631          | 0.7212 | 19.0    |
| 4.7648        | 20.0  | 120  | 5.9913          | 0.0    | 19.0    |
| 4.076         | 21.0  | 126  | 5.8300          | 0.7212 | 19.0    |
| 4.5435        | 22.0  | 132  | 5.7988          | 0.7212 | 19.0    |
| 4.2224        | 23.0  | 138  | 5.7900          | 0.7212 | 19.0    |
| 3.7953        | 24.0  | 144  | 6.0687          | 0.011  | 19.0    |
| 4.0312        | 25.0  | 150  | 5.8321          | 0.1689 | 19.0    |
| 3.4781        | 26.0  | 156  | 5.8820          | 0.7984 | 19.0    |
| 4.0509        | 27.0  | 162  | 5.9177          | 0.7212 | 19.0    |
| 3.8217        | 28.0  | 168  | 5.7663          | 0.7861 | 19.0    |
| 4.1972        | 29.0  | 174  | 6.0547          | 0.9173 | 19.0    |
| 3.9588        | 30.0  | 180  | 5.7790          | 0.7212 | 19.0    |
| 3.8624        | 31.0  | 186  | 5.8604          | 0.1916 | 19.0    |
| 3.7053        | 32.0  | 192  | 5.9171          | 0.7212 | 19.0    |
| 4.03          | 33.0  | 198  | 5.8490          | 0.7212 | 19.0    |
| 3.3214        | 34.0  | 204  | 6.3967          | 0.7212 | 19.0    |
| 3.8343        | 35.0  | 210  | 5.7936          | 0.0    | 19.0    |
| 3.3124        | 36.0  | 216  | 5.8793          | 0.7663 | 19.0    |
| 3.7071        | 37.0  | 222  | 6.1326          | 0.0957 | 8.0     |
| 3.6547        | 38.0  | 228  | 5.9072          | 0.8029 | 19.0    |
| 3.4187        | 39.0  | 234  | 5.8807          | 0.5047 | 19.0    |
| 3.953         | 40.0  | 240  | 5.8663          | 0.7923 | 19.0    |
| 4.0113        | 41.0  | 246  | 6.1256          | 0.7212 | 19.0    |
| 4.2969        | 42.0  | 252  | 6.0113          | 0.1689 | 19.0    |
| 3.9081        | 43.0  | 258  | 5.9222          | 0.0    | 15.9048 |
| 3.7646        | 44.0  | 264  | 5.9990          | 0.7212 | 19.0    |
| 3.5407        | 45.0  | 270  | 6.2920          | 0.0945 | 7.0     |
| 2.8075        | 46.0  | 276  | 6.1092          | 0.4815 | 19.0    |
| 3.9057        | 47.0  | 282  | 6.1175          | 1.0006 | 19.0    |
| 4.1845        | 48.0  | 288  | 6.2553          | 0.8147 | 19.0    |
| 3.4686        | 49.0  | 294  | 6.1979          | 0.7796 | 19.0    |
| 3.029         | 50.0  | 300  | 6.1064          | 0.7771 | 19.0    |
| 3.62          | 51.0  | 306  | 5.9443          | 0.7212 | 19.0    |
| 3.719         | 52.0  | 312  | 6.3162          | 0.7212 | 19.0    |
| 3.4713        | 53.0  | 318  | 5.9465          | 0.7212 | 19.0    |
| 3.675         | 54.0  | 324  | 6.1606          | 0.3501 | 19.0    |
| 3.518         | 55.0  | 330  | 6.1223          | 0.1689 | 19.0    |
| 3.3729        | 56.0  | 336  | 6.0394          | 1.3618 | 19.0    |
| 2.7827        | 57.0  | 342  | 6.3169          | 0.7212 | 19.0    |
| 3.7061        | 58.0  | 348  | 6.4504          | 1.694  | 19.0    |
| 3.4929        | 59.0  | 354  | 6.3042          | 0.7475 | 19.0    |
| 2.1424        | 60.0  | 360  | 6.3536          | 0.8628 | 19.0    |
| 2.787         | 61.0  | 366  | 6.3339          | 0.0    | 19.0    |
| 3.6486        | 62.0  | 372  | 6.4380          | 0.1023 | 19.0    |
| 3.8631        | 63.0  | 378  | 6.3261          | 0.7212 | 19.0    |
| 3.4476        | 64.0  | 384  | 6.2478          | 1.2825 | 19.0    |
| 3.256         | 65.0  | 390  | 6.4766          | 0.5017 | 19.0    |
| 3.6114        | 66.0  | 396  | 6.4519          | 0.7212 | 19.0    |
| 3.8405        | 67.0  | 402  | 6.3538          | 0.4744 | 19.0    |
| 3.3164        | 68.0  | 408  | 6.0134          | 0.3725 | 19.0    |
| 3.4129        | 69.0  | 414  | 6.5988          | 0.2135 | 19.0    |
| 3.693         | 70.0  | 420  | 6.4498          | 0.1689 | 19.0    |
| 2.9521        | 71.0  | 426  | 6.2916          | 1.3636 | 19.0    |
| 3.6362        | 72.0  | 432  | 6.3040          | 0.3063 | 19.0    |
| 3.6713        | 73.0  | 438  | 6.3731          | 0.8106 | 19.0    |
| 3.2562        | 74.0  | 444  | 6.3822          | 0.9407 | 19.0    |
| 2.4132        | 75.0  | 450  | 6.5435          | 0.9407 | 19.0    |
| 3.4504        | 76.0  | 456  | 6.7828          | 0.8829 | 19.0    |
| 3.282         | 77.0  | 462  | 6.6479          | 1.4788 | 19.0    |
| 3.4199        | 78.0  | 468  | 6.6536          | 0.0761 | 6.0     |
| 3.4234        | 79.0  | 474  | 6.5193          | 0.4172 | 19.0    |
| 3.0937        | 80.0  | 480  | 6.7476          | 0.5603 | 19.0    |
| 2.9563        | 81.0  | 486  | 6.6885          | 1.5178 | 19.0    |
| 3.1052        | 82.0  | 492  | 6.6320          | 1.3064 | 19.0    |
| 2.7674        | 83.0  | 498  | 6.6363          | 0.7892 | 19.0    |
| 2.6265        | 84.0  | 504  | 6.6629          | 1.5199 | 19.0    |
| 2.3116        | 85.0  | 510  | 6.6467          | 0.0    | 19.0    |
| 3.0439        | 86.0  | 516  | 6.7820          | 0.9326 | 19.0    |
| 2.7406        | 87.0  | 522  | 6.9067          | 1.2025 | 19.0    |
| 2.4509        | 88.0  | 528  | 6.9738          | 1.0657 | 19.0    |
| 2.8186        | 89.0  | 534  | 7.1507          | 0.4574 | 19.0    |
| 2.6713        | 90.0  | 540  | 7.0799          | 0.4527 | 19.0    |
| 2.6231        | 91.0  | 546  | 7.0459          | 0.646  | 19.0    |
| 3.2357        | 92.0  | 552  | 7.0238          | 0.525  | 19.0    |
| 2.8834        | 93.0  | 558  | 7.0185          | 0.5206 | 19.0    |
| 1.7973        | 94.0  | 564  | 7.0711          | 0.8153 | 19.0    |
| 1.9995        | 95.0  | 570  | 7.1263          | 0.3015 | 19.0    |
| 2.2875        | 96.0  | 576  | 7.1877          | 0.3025 | 19.0    |
| 1.8547        | 97.0  | 582  | 7.2062          | 0.3025 | 19.0    |
| 1.5572        | 98.0  | 588  | 7.2270          | 0.5076 | 19.0    |
| 1.7653        | 99.0  | 594  | 7.2347          | 0.3025 | 19.0    |
| 2.6411        | 100.0 | 600  | 7.2340          | 0.3036 | 19.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 1.13.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0
