transformers safetensors m2m_100 text2text-generation generated_from_trainer base_model:facebook/m2m100_1.2B license:mit autotrain_compatible endpoints_compatible region:us
---
license: mit
base_model: facebook/m2m100_1.2B
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: cs_m2m_0.001_50_v0.2
  results: []
---

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# cs_m2m_0.001_50_v0.2

This model is a fine-tuned version of [facebook/m2m100_1.2B](https://huggingface.co/facebook/m2m100_1.2B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 8.4343
- Bleu: 0.0488
- Gen Len: 93.2857

## 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: 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  |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
| 5.0853        | 1.0   | 6    | 6.9325          | 0.0    | 5.0      |
| 4.3538        | 2.0   | 12   | 7.0396          | 0.1923 | 7.5714   |
| 4.6426        | 3.0   | 18   | 7.0321          | 0.1563 | 42.1429  |
| 5.1737        | 4.0   | 24   | 7.0390          | 0.0335 | 103.5238 |
| 3.9214        | 5.0   | 30   | 7.0585          | 0.0    | 5.0      |
| 4.7309        | 6.0   | 36   | 7.1597          | 0.1313 | 7.7619   |
| 4.3458        | 7.0   | 42   | 7.1875          | 0.0    | 5.0      |
| 4.1409        | 8.0   | 48   | 7.1934          | 0.308  | 18.1429  |
| 3.8187        | 9.0   | 54   | 7.1696          | 0.0    | 5.0      |
| 3.9459        | 10.0  | 60   | 7.1153          | 0.0    | 5.0      |
| 4.3563        | 11.0  | 66   | 7.2286          | 0.3581 | 8.619    |
| 4.4193        | 12.0  | 72   | 7.3526          | 0.0    | 5.0      |
| 4.4508        | 13.0  | 78   | 7.4000          | 0.0    | 5.0      |
| 4.115         | 14.0  | 84   | 7.4140          | 0.0    | 5.0      |
| 4.1807        | 15.0  | 90   | 7.4866          | 0.0    | 5.0      |
| 3.8422        | 16.0  | 96   | 7.6149          | 0.3839 | 9.0      |
| 4.1567        | 17.0  | 102  | 7.5413          | 0.2035 | 8.8095   |
| 4.3236        | 18.0  | 108  | 7.5256          | 0.2104 | 9.0      |
| 4.3343        | 19.0  | 114  | 7.5449          | 0.149  | 8.4286   |
| 4.3139        | 20.0  | 120  | 7.4758          | 0.0    | 5.0      |
| 3.1706        | 21.0  | 126  | 7.5896          | 0.0274 | 130.9048 |
| 3.0241        | 22.0  | 132  | 7.8300          | 0.2142 | 7.9524   |
| 4.5364        | 23.0  | 138  | 7.8698          | 0.0515 | 5.2857   |
| 5.4824        | 24.0  | 144  | 7.8732          | 0.0364 | 192.0952 |
| 3.8072        | 25.0  | 150  | 7.7993          | 0.0    | 5.0      |
| 3.9879        | 26.0  | 156  | 7.7222          | 0.0746 | 200.0    |
| 4.0397        | 27.0  | 162  | 7.6906          | 0.0436 | 146.0476 |
| 3.7429        | 28.0  | 168  | 7.7814          | 0.0    | 6.8095   |
| 3.7498        | 29.0  | 174  | 7.8873          | 0.2861 | 8.0      |
| 4.1991        | 30.0  | 180  | 8.0400          | 0.3032 | 13.5714  |
| 5.4424        | 31.0  | 186  | 7.9368          | 0.2537 | 15.1905  |
| 3.6523        | 32.0  | 192  | 7.8529          | 0.3288 | 7.1905   |
| 5.5908        | 33.0  | 198  | 7.8531          | 0.087  | 5.8571   |
| 3.8218        | 34.0  | 204  | 7.7538          | 0.2073 | 7.8571   |
| 3.8408        | 35.0  | 210  | 7.6796          | 0.1027 | 7.381    |
| 3.2347        | 36.0  | 216  | 7.8281          | 0.1662 | 8.9524   |
| 4.0158        | 37.0  | 222  | 7.8108          | 0.1907 | 23.9524  |
| 4.2395        | 38.0  | 228  | 7.7778          | 0.4592 | 19.4286  |
| 3.1863        | 39.0  | 234  | 7.8962          | 0.3148 | 16.1429  |
| 3.5706        | 40.0  | 240  | 8.2310          | 0.2962 | 33.7619  |
| 3.8174        | 41.0  | 246  | 8.0290          | 0.2864 | 14.1429  |
| 3.6144        | 42.0  | 252  | 7.9235          | 0.2737 | 11.8095  |
| 3.914         | 43.0  | 258  | 7.9920          | 0.286  | 15.5714  |
| 3.9245        | 44.0  | 264  | 7.9770          | 0.1251 | 35.8571  |
| 3.223         | 45.0  | 270  | 8.1701          | 0.1428 | 32.1429  |
| 3.5751        | 46.0  | 276  | 8.2573          | 0.2497 | 19.9048  |
| 3.7939        | 47.0  | 282  | 8.2825          | 0.0571 | 110.9524 |
| 3.8968        | 48.0  | 288  | 8.4263          | 0.0702 | 200.0    |
| 2.2186        | 49.0  | 294  | 8.3673          | 0.2356 | 107.5714 |
| 3.1794        | 50.0  | 300  | 8.2041          | 0.2142 | 38.5238  |
| 3.3098        | 51.0  | 306  | 8.2863          | 0.0349 | 113.3333 |
| 3.7869        | 52.0  | 312  | 8.3350          | 0.0655 | 95.2857  |
| 3.7239        | 53.0  | 318  | 8.2509          | 0.025  | 179.7143 |
| 3.5206        | 54.0  | 324  | 8.2301          | 0.074  | 75.9524  |
| 3.2225        | 55.0  | 330  | 8.1540          | 0.0242 | 173.5238 |
| 2.6646        | 56.0  | 336  | 8.1574          | 0.3081 | 91.2381  |
| 3.3487        | 57.0  | 342  | 8.1095          | 0.0597 | 115.6667 |
| 3.2801        | 58.0  | 348  | 8.1534          | 0.1796 | 39.8095  |
| 2.7653        | 59.0  | 354  | 8.2800          | 0.0423 | 82.0476  |
| 3.3158        | 60.0  | 360  | 8.2560          | 0.0437 | 116.4762 |
| 2.5549        | 61.0  | 366  | 8.2070          | 0.0348 | 164.2857 |
| 2.9411        | 62.0  | 372  | 8.2850          | 0.3249 | 12.381   |
| 2.965         | 63.0  | 378  | 8.3497          | 0.0352 | 117.1429 |
| 3.4553        | 64.0  | 384  | 8.3532          | 0.0739 | 145.9524 |
| 3.1656        | 65.0  | 390  | 8.3229          | 0.1993 | 102.5714 |
| 3.3285        | 66.0  | 396  | 8.3454          | 0.2297 | 46.9524  |
| 2.7365        | 67.0  | 402  | 8.4989          | 0.2246 | 39.381   |
| 3.1372        | 68.0  | 408  | 8.4935          | 0.0444 | 115.2381 |
| 2.3018        | 69.0  | 414  | 8.4543          | 0.0552 | 113.8571 |
| 2.5972        | 70.0  | 420  | 8.4092          | 0.245  | 15.3333  |
| 5.2476        | 71.0  | 426  | 8.3573          | 0.2629 | 32.0476  |
| 2.4894        | 72.0  | 432  | 8.3228          | 0.2863 | 42.5238  |
| 3.9303        | 73.0  | 438  | 8.3295          | 0.5382 | 36.7619  |
| 3.8135        | 74.0  | 444  | 8.3803          | 0.2421 | 41.8095  |
| 2.36          | 75.0  | 450  | 8.4558          | 0.1325 | 58.381   |
| 2.7095        | 76.0  | 456  | 8.5280          | 0.2592 | 68.9524  |
| 2.0011        | 77.0  | 462  | 8.4020          | 0.2997 | 58.2381  |
| 1.9209        | 78.0  | 468  | 8.4449          | 0.1838 | 43.7143  |
| 3.3766        | 79.0  | 474  | 8.5564          | 0.2789 | 24.9048  |
| 3.4283        | 80.0  | 480  | 8.5476          | 0.264  | 35.7143  |
| 2.8935        | 81.0  | 486  | 8.5057          | 0.0633 | 79.8095  |
| 2.5961        | 82.0  | 492  | 8.4756          | 0.0648 | 92.9524  |
| 3.999         | 83.0  | 498  | 8.4273          | 0.1558 | 68.4286  |
| 3.612         | 84.0  | 504  | 8.3825          | 0.1379 | 52.9524  |
| 2.5813        | 85.0  | 510  | 8.3289          | 0.1275 | 42.0     |
| 2.8265        | 86.0  | 516  | 8.3150          | 0.2806 | 22.9048  |
| 3.1955        | 87.0  | 522  | 8.3218          | 0.2976 | 17.4762  |
| 2.7654        | 88.0  | 528  | 8.3135          | 0.2878 | 35.619   |
| 3.7539        | 89.0  | 534  | 8.3157          | 0.0896 | 48.4762  |
| 1.8882        | 90.0  | 540  | 8.3397          | 0.0897 | 57.7619  |
| 2.5795        | 91.0  | 546  | 8.3700          | 0.069  | 79.1905  |
| 1.9473        | 92.0  | 552  | 8.4195          | 0.1347 | 152.4762 |
| 2.349         | 93.0  | 558  | 8.4513          | 0.0239 | 183.619  |
| 3.1561        | 94.0  | 564  | 8.4664          | 0.0234 | 192.4286 |
| 2.9355        | 95.0  | 570  | 8.4679          | 0.1186 | 167.8571 |
| 2.5661        | 96.0  | 576  | 8.4588          | 0.1833 | 110.9524 |
| 3.1005        | 97.0  | 582  | 8.4478          | 0.0432 | 124.8571 |
| 2.7184        | 98.0  | 588  | 8.4399          | 0.0589 | 84.9048  |
| 2.8431        | 99.0  | 594  | 8.4340          | 0.1961 | 103.9524 |
| 2.9269        | 100.0 | 600  | 8.4343          | 0.0488 | 93.2857  |


### Framework versions

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