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---
license: apache-2.0
base_model: google/mt5-large
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: cs_mT5-large2_2e-5_100_v0.4
  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_100_v0.4

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: 3.1297
- Bleu: 12.9589
- Gen Len: 15.7619

## 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: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 18.9475       | 1.0   | 6    | 8.4357          | 8.3431  | 19.0    |
| 11.3295       | 2.0   | 12   | 7.0692          | 8.4786  | 19.0    |
| 11.2185       | 3.0   | 18   | 6.4881          | 7.8425  | 19.0    |
| 9.7688        | 4.0   | 24   | 6.2043          | 7.4958  | 19.0    |
| 7.633         | 5.0   | 30   | 6.1694          | 7.4994  | 19.0    |
| 10.8618       | 6.0   | 36   | 6.0789          | 7.2123  | 19.0    |
| 9.4099        | 7.0   | 42   | 6.0121          | 7.4767  | 19.0    |
| 7.1028        | 8.0   | 48   | 5.9718          | 7.4839  | 19.0    |
| 10.2013       | 9.0   | 54   | 5.9141          | 8.246   | 19.0    |
| 11.8248       | 10.0  | 60   | 5.8562          | 8.4493  | 19.0    |
| 6.4776        | 11.0  | 66   | 5.7982          | 8.3904  | 19.0    |
| 6.813         | 12.0  | 72   | 5.7229          | 8.6768  | 19.0    |
| 10.7703       | 13.0  | 78   | 5.6543          | 8.6985  | 19.0    |
| 7.1642        | 14.0  | 84   | 5.6137          | 8.8415  | 19.0    |
| 8.1195        | 15.0  | 90   | 5.5589          | 8.9574  | 19.0    |
| 10.4234       | 16.0  | 96   | 5.4890          | 8.8876  | 19.0    |
| 6.9893        | 17.0  | 102  | 5.4146          | 10.5467 | 19.0    |
| 7.3889        | 18.0  | 108  | 5.3484          | 10.5658 | 19.0    |
| 6.042         | 19.0  | 114  | 5.3008          | 10.4592 | 19.0    |
| 8.1065        | 20.0  | 120  | 5.2775          | 9.958   | 19.0    |
| 5.2708        | 21.0  | 126  | 5.2247          | 9.4528  | 19.0    |
| 4.9285        | 22.0  | 132  | 5.1740          | 7.2801  | 19.0    |
| 4.8751        | 23.0  | 138  | 5.1216          | 7.2902  | 19.0    |
| 5.6123        | 24.0  | 144  | 5.0377          | 9.9147  | 19.0    |
| 4.6797        | 25.0  | 150  | 4.9345          | 10.7926 | 19.0    |
| 4.3882        | 26.0  | 156  | 4.8420          | 10.7388 | 19.0    |
| 5.2828        | 27.0  | 162  | 4.7564          | 10.6526 | 19.0    |
| 4.2994        | 28.0  | 168  | 4.6960          | 9.7076  | 19.0    |
| 3.964         | 29.0  | 174  | 4.5760          | 9.6231  | 19.0    |
| 9.4351        | 30.0  | 180  | 4.5173          | 8.9601  | 19.0    |
| 5.1911        | 31.0  | 186  | 4.4738          | 9.8122  | 19.0    |
| 3.4724        | 32.0  | 192  | 4.4102          | 10.0874 | 19.0    |
| 4.39          | 33.0  | 198  | 4.3444          | 10.9115 | 19.0    |
| 6.3546        | 34.0  | 204  | 4.2755          | 11.0007 | 18.7619 |
| 5.4393        | 35.0  | 210  | 4.2020          | 11.127  | 18.7619 |
| 2.8915        | 36.0  | 216  | 4.1248          | 11.0087 | 18.7619 |
| 6.6742        | 37.0  | 222  | 4.0757          | 11.4869 | 18.9048 |
| 3.5017        | 38.0  | 228  | 4.0376          | 11.4063 | 18.9048 |
| 4.1386        | 39.0  | 234  | 3.9890          | 10.7683 | 18.8095 |
| 4.9058        | 40.0  | 240  | 3.9372          | 10.7683 | 18.8095 |
| 4.2836        | 41.0  | 246  | 3.8872          | 10.8023 | 18.8095 |
| 3.7174        | 42.0  | 252  | 3.8378          | 10.9883 | 18.4286 |
| 3.0365        | 43.0  | 258  | 3.7907          | 11.0504 | 18.381  |
| 3.3476        | 44.0  | 264  | 3.7541          | 11.0634 | 17.9524 |
| 3.9578        | 45.0  | 270  | 3.7206          | 11.4798 | 17.4762 |
| 4.3193        | 46.0  | 276  | 3.6877          | 11.5753 | 17.3333 |
| 3.6244        | 47.0  | 282  | 3.6538          | 11.8793 | 16.5714 |
| 2.9136        | 48.0  | 288  | 3.6136          | 12.0169 | 15.9524 |
| 2.2932        | 49.0  | 294  | 3.5735          | 11.126  | 16.3333 |
| 3.4335        | 50.0  | 300  | 3.5422          | 11.3689 | 16.3333 |
| 2.9941        | 51.0  | 306  | 3.5072          | 11.0037 | 16.3333 |
| 4.7679        | 52.0  | 312  | 3.4671          | 10.8819 | 16.3333 |
| 2.7498        | 53.0  | 318  | 3.4404          | 10.8882 | 16.619  |
| 3.5759        | 54.0  | 324  | 3.4195          | 10.8882 | 16.619  |
| 2.9012        | 55.0  | 330  | 3.4040          | 10.5862 | 17.3333 |
| 3.2823        | 56.0  | 336  | 3.3924          | 10.57   | 17.0476 |
| 4.5793        | 57.0  | 342  | 3.3806          | 11.605  | 17.0    |
| 4.271         | 58.0  | 348  | 3.3672          | 11.7166 | 16.8095 |
| 3.5227        | 59.0  | 354  | 3.3569          | 11.8219 | 16.5238 |
| 2.9193        | 60.0  | 360  | 3.3481          | 11.8931 | 16.381  |
| 3.5956        | 61.0  | 366  | 3.3385          | 11.1876 | 16.5238 |
| 3.5521        | 62.0  | 372  | 3.3293          | 11.0871 | 16.7143 |
| 2.6291        | 63.0  | 378  | 3.3136          | 11.2216 | 16.5714 |
| 2.0321        | 64.0  | 384  | 3.2935          | 11.29   | 16.381  |
| 2.5651        | 65.0  | 390  | 3.2846          | 11.3853 | 16.5714 |
| 2.9702        | 66.0  | 396  | 3.2866          | 11.3853 | 16.5714 |
| 2.2628        | 67.0  | 402  | 3.2755          | 11.294  | 16.3333 |
| 2.5516        | 68.0  | 408  | 3.2619          | 11.699  | 16.1429 |
| 3.3097        | 69.0  | 414  | 3.2485          | 11.682  | 16.1429 |
| 1.8752        | 70.0  | 420  | 3.2383          | 11.8141 | 15.9048 |
| 2.3432        | 71.0  | 426  | 3.2299          | 11.8141 | 15.9048 |
| 2.2128        | 72.0  | 432  | 3.2202          | 12.0422 | 15.381  |
| 2.7711        | 73.0  | 438  | 3.2107          | 11.9983 | 15.5238 |
| 3.7951        | 74.0  | 444  | 3.2039          | 12.2396 | 15.6667 |
| 2.7207        | 75.0  | 450  | 3.1969          | 12.9329 | 15.619  |
| 2.071         | 76.0  | 456  | 3.1905          | 12.4005 | 15.619  |
| 1.9696        | 77.0  | 462  | 3.1861          | 12.5352 | 15.2857 |
| 1.2979        | 78.0  | 468  | 3.1816          | 12.5352 | 15.2857 |
| 2.6149        | 79.0  | 474  | 3.1777          | 12.5352 | 15.2857 |
| 1.7925        | 80.0  | 480  | 3.1720          | 12.5352 | 15.2857 |
| 2.3365        | 81.0  | 486  | 3.1683          | 12.4005 | 15.619  |
| 3.0536        | 82.0  | 492  | 3.1653          | 12.4005 | 15.619  |
| 2.6278        | 83.0  | 498  | 3.1617          | 12.4005 | 15.619  |
| 3.2318        | 84.0  | 504  | 3.1583          | 12.4005 | 15.619  |
| 2.9789        | 85.0  | 510  | 3.1569          | 12.4005 | 15.619  |
| 2.3504        | 86.0  | 516  | 3.1537          | 12.4005 | 15.619  |
| 1.603         | 87.0  | 522  | 3.1508          | 12.4005 | 15.619  |
| 3.2194        | 88.0  | 528  | 3.1486          | 12.2448 | 16.0952 |
| 2.6168        | 89.0  | 534  | 3.1459          | 12.2448 | 16.0952 |
| 2.3382        | 90.0  | 540  | 3.1429          | 12.2448 | 16.0952 |
| 3.6469        | 91.0  | 546  | 3.1397          | 12.8612 | 15.9048 |
| 2.2697        | 92.0  | 552  | 3.1371          | 12.8612 | 15.9048 |
| 1.8352        | 93.0  | 558  | 3.1356          | 12.8612 | 15.9048 |
| 1.3854        | 94.0  | 564  | 3.1344          | 12.8612 | 15.9048 |
| 2.6405        | 95.0  | 570  | 3.1336          | 12.8612 | 15.9048 |
| 2.0361        | 96.0  | 576  | 3.1321          | 12.8612 | 15.9048 |
| 3.4828        | 97.0  | 582  | 3.1311          | 12.9589 | 15.7619 |
| 2.6929        | 98.0  | 588  | 3.1304          | 12.9589 | 15.7619 |
| 2.2882        | 99.0  | 594  | 3.1299          | 12.9589 | 15.7619 |
| 2.4893        | 100.0 | 600  | 3.1297          | 12.9589 | 15.7619 |


### Framework versions

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