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# es_fi_orig_quy

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-fi](https://huggingface.co/Helsinki-NLP/opus-mt-es-fi) on the AmericasNLP2023 Original Task's dataset for Quechua.
It achieves the following results on the evaluation set:
- Loss: 0.5414
- Bleu: 2.4777
- Chrf: 35.3072
- Gen Len: 33.2767

## 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu   | Chrf    | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|:-------:|
| 0.9069        | 0.06  | 500    | 0.7130          | 0.7729 | 17.9749 | 44.4678 |
| 0.539         | 0.12  | 1000   | 0.6747          | 0.7711 | 20.5427 | 40.504  |
| 0.4832        | 0.18  | 1500   | 0.6461          | 0.8605 | 21.6266 | 40.7505 |
| 0.45          | 0.24  | 2000   | 0.6304          | 0.9152 | 22.8153 | 35.6489 |
| 0.4192        | 0.31  | 2500   | 0.6239          | 0.9358 | 23.6102 | 34.1469 |
| 0.4061        | 0.37  | 3000   | 0.6108          | 1.183  | 25.1705 | 34.0684 |
| 0.3864        | 0.43  | 3500   | 0.5939          | 1.2459 | 26.0102 | 33.6217 |
| 0.3762        | 0.49  | 4000   | 0.5876          | 1.3822 | 26.3468 | 33.7304 |
| 0.3669        | 0.55  | 4500   | 0.5796          | 1.6164 | 26.7314 | 32.5785 |
| 0.3591        | 0.61  | 5000   | 0.5795          | 1.2637 | 26.7829 | 31.6338 |
| 0.3471        | 0.67  | 5500   | 0.5758          | 1.6099 | 28.2004 | 33.7042 |
| 0.3368        | 0.73  | 6000   | 0.5678          | 1.5843 | 28.6728 | 36.1087 |
| 0.332         | 0.8   | 6500   | 0.5623          | 1.4817 | 28.141  | 33.2062 |
| 0.3305        | 0.86  | 7000   | 0.5592          | 1.6164 | 28.5089 | 33.7968 |
| 0.325         | 0.92  | 7500   | 0.5554          | 1.7755 | 29.4873 | 33.659  |
| 0.3148        | 0.98  | 8000   | 0.5534          | 1.4771 | 29.2475 | 32.9517 |
| 0.306         | 1.04  | 8500   | 0.5503          | 1.6723 | 30.3463 | 34.3541 |
| 0.2999        | 1.1   | 9000   | 0.5498          | 1.7604 | 30.4026 | 34.3531 |
| 0.2979        | 1.16  | 9500   | 0.5470          | 1.6658 | 30.6424 | 34.3038 |
| 0.2875        | 1.22  | 10000  | 0.5447          | 1.6232 | 30.6178 | 32.7374 |
| 0.2885        | 1.29  | 10500  | 0.5468          | 1.4892 | 30.536  | 33.5704 |
| 0.2914        | 1.35  | 11000  | 0.5397          | 1.7088 | 30.4463 | 32.665  |
| 0.2873        | 1.41  | 11500  | 0.5385          | 1.4307 | 31.359  | 32.6006 |
| 0.2821        | 1.47  | 12000  | 0.5391          | 1.6375 | 31.2201 | 33.7616 |
| 0.2813        | 1.53  | 12500  | 0.5343          | 1.7664 | 31.2716 | 32.8048 |
| 0.2795        | 1.59  | 13000  | 0.5390          | 1.6373 | 31.4692 | 33.2354 |
| 0.2766        | 1.65  | 13500  | 0.5333          | 1.6973 | 31.9842 | 34.3099 |
| 0.2726        | 1.71  | 14000  | 0.5342          | 1.9934 | 32.0932 | 34.7022 |
| 0.2696        | 1.77  | 14500  | 0.5316          | 1.7776 | 32.1299 | 33.3531 |
| 0.2732        | 1.84  | 15000  | 0.5274          | 1.5068 | 32.156  | 33.7404 |
| 0.2732        | 1.9   | 15500  | 0.5281          | 1.8983 | 32.123  | 32.7274 |
| 0.2695        | 1.96  | 16000  | 0.5285          | 1.7102 | 32.3456 | 34.7596 |
| 0.2609        | 2.02  | 16500  | 0.5299          | 1.8289 | 32.4311 | 32.169  |
| 0.2566        | 2.08  | 17000  | 0.5259          | 2.3307 | 32.4029 | 32.6801 |
| 0.2546        | 2.14  | 17500  | 0.5262          | 1.7847 | 32.4796 | 32.5594 |
| 0.2575        | 2.2   | 18000  | 0.5278          | 1.7378 | 32.6314 | 33.5493 |
| 0.2537        | 2.26  | 18500  | 0.5256          | 1.8299 | 32.4598 | 32.7515 |
| 0.2496        | 2.33  | 19000  | 0.5269          | 1.4243 | 32.4538 | 32.6368 |
| 0.2492        | 2.39  | 19500  | 0.5264          | 1.7878 | 32.4759 | 32.7958 |
| 0.2511        | 2.45  | 20000  | 0.5230          | 1.7877 | 32.7906 | 33.0956 |
| 0.2502        | 2.51  | 20500  | 0.5211          | 1.8735 | 33.2824 | 34.0503 |
| 0.2468        | 2.57  | 21000  | 0.5227          | 2.0487 | 33.1002 | 32.9849 |
| 0.2445        | 2.63  | 21500  | 0.5206          | 2.0547 | 33.3626 | 32.7867 |
| 0.2455        | 2.69  | 22000  | 0.5202          | 1.968  | 33.0031 | 32.9658 |
| 0.2489        | 2.75  | 22500  | 0.5195          | 2.0145 | 32.9789 | 32.5926 |
| 0.2385        | 2.82  | 23000  | 0.5180          | 2.0486 | 33.2563 | 33.337  |
| 0.2421        | 2.88  | 23500  | 0.5162          | 2.1097 | 33.0014 | 33.4105 |
| 0.2414        | 2.94  | 24000  | 0.5148          | 1.9033 | 33.1448 | 33.4175 |
| 0.2445        | 3.0   | 24500  | 0.5207          | 1.8791 | 32.9875 | 32.8018 |
| 0.2329        | 3.06  | 25000  | 0.5216          | 2.2176 | 33.6869 | 33.8642 |
| 0.2289        | 3.12  | 25500  | 0.5160          | 1.8891 | 33.3863 | 32.2857 |
| 0.2336        | 3.18  | 26000  | 0.5144          | 2.0862 | 33.4626 | 33.6097 |
| 0.2279        | 3.24  | 26500  | 0.5163          | 2.1618 | 33.7683 | 32.8773 |
| 0.2308        | 3.3   | 27000  | 0.5188          | 2.3628 | 34.06   | 33.7133 |
| 0.2313        | 3.37  | 27500  | 0.5188          | 1.6833 | 33.9596 | 33.7032 |
| 0.2308        | 3.43  | 28000  | 0.5165          | 2.1626 | 33.651  | 33.4507 |
| 0.2238        | 3.49  | 28500  | 0.5162          | 1.8525 | 33.2934 | 32.3511 |
| 0.2263        | 3.55  | 29000  | 0.5163          | 2.0621 | 33.4168 | 32.8561 |
| 0.2265        | 3.61  | 29500  | 0.5134          | 2.361  | 34.0822 | 33.0272 |
| 0.2256        | 3.67  | 30000  | 0.5128          | 2.289  | 33.938  | 33.6016 |
| 0.2277        | 3.73  | 30500  | 0.5153          | 1.8415 | 33.7406 | 34.1761 |
| 0.227         | 3.79  | 31000  | 0.5130          | 2.0473 | 33.2757 | 33.3571 |
| 0.2296        | 3.86  | 31500  | 0.5140          | 1.9687 | 33.6899 | 33.1459 |
| 0.2256        | 3.92  | 32000  | 0.5145          | 2.1504 | 33.8796 | 33.6278 |
| 0.2279        | 3.98  | 32500  | 0.5101          | 1.802  | 33.982  | 33.2414 |
| 0.2172        | 4.04  | 33000  | 0.5180          | 2.3048 | 34.348  | 33.167  |
| 0.2135        | 4.1   | 33500  | 0.5154          | 2.2467 | 34.1301 | 33.0382 |
| 0.2154        | 4.16  | 34000  | 0.5159          | 1.9384 | 34.2688 | 33.5855 |
| 0.2169        | 4.22  | 34500  | 0.5177          | 2.3588 | 34.2068 | 33.3954 |
| 0.216         | 4.28  | 35000  | 0.5160          | 2.0115 | 33.7004 | 33.3612 |
| 0.216         | 4.35  | 35500  | 0.5139          | 1.5035 | 33.8102 | 32.6217 |
| 0.2139        | 4.41  | 36000  | 0.5126          | 2.359  | 34.1215 | 33.6761 |
| 0.2168        | 4.47  | 36500  | 0.5105          | 2.1176 | 33.7094 | 32.5352 |
| 0.2155        | 4.53  | 37000  | 0.5144          | 2.1564 | 33.3474 | 32.1881 |
| 0.2156        | 4.59  | 37500  | 0.5118          | 2.0    | 33.9916 | 32.9537 |
| 0.2135        | 4.65  | 38000  | 0.5124          | 2.3122 | 34.095  | 32.667  |
| 0.2138        | 4.71  | 38500  | 0.5115          | 1.9716 | 33.9118 | 32.5644 |
| 0.2107        | 4.77  | 39000  | 0.5145          | 2.2866 | 34.4234 | 33.2153 |
| 0.2083        | 4.83  | 39500  | 0.5122          | 2.0444 | 34.6246 | 33.8491 |
| 0.2141        | 4.9   | 40000  | 0.5125          | 2.0011 | 34.6505 | 33.7384 |
| 0.2087        | 4.96  | 40500  | 0.5149          | 2.3504 | 34.1777 | 33.339  |
| 0.2113        | 5.02  | 41000  | 0.5160          | 2.2727 | 34.0993 | 33.4779 |
| 0.2019        | 5.08  | 41500  | 0.5143          | 2.3324 | 34.613  | 33.4376 |
| 0.206         | 5.14  | 42000  | 0.5154          | 2.1462 | 34.758  | 33.4437 |
| 0.2013        | 5.2   | 42500  | 0.5175          | 2.3562 | 34.2422 | 32.3511 |
| 0.2032        | 5.26  | 43000  | 0.5160          | 2.3984 | 34.645  | 32.5604 |
| 0.2068        | 5.32  | 43500  | 0.5159          | 2.2794 | 34.4269 | 32.8742 |
| 0.204         | 5.39  | 44000  | 0.5132          | 2.3506 | 34.7618 | 33.9487 |
| 0.2028        | 5.45  | 44500  | 0.5153          | 2.4088 | 34.9393 | 33.5131 |
| 0.2004        | 5.51  | 45000  | 0.5172          | 2.4071 | 34.3887 | 33.1006 |
| 0.2021        | 5.57  | 45500  | 0.5106          | 2.0544 | 34.1071 | 33.7404 |
| 0.2058        | 5.63  | 46000  | 0.5126          | 1.9098 | 34.6397 | 33.7807 |
| 0.2015        | 5.69  | 46500  | 0.5115          | 2.3614 | 34.25   | 32.8571 |
| 0.2038        | 5.75  | 47000  | 0.5094          | 2.0321 | 34.1132 | 32.6932 |
| 0.2021        | 5.81  | 47500  | 0.5147          | 2.2524 | 34.7776 | 33.4276 |
| 0.2041        | 5.88  | 48000  | 0.5154          | 2.2605 | 34.323  | 32.9769 |
| 0.2009        | 5.94  | 48500  | 0.5137          | 2.2593 | 34.8502 | 33.499  |
| 0.2025        | 6.0   | 49000  | 0.5103          | 2.3048 | 34.4908 | 33.4789 |
| 0.193         | 6.06  | 49500  | 0.5170          | 2.1498 | 34.3672 | 33.3612 |
| 0.193         | 6.12  | 50000  | 0.5151          | 2.5941 | 34.9481 | 33.336  |
| 0.1936        | 6.18  | 50500  | 0.5169          | 2.2235 | 34.6028 | 32.5744 |
| 0.196         | 6.24  | 51000  | 0.5162          | 2.2306 | 34.6904 | 32.4517 |
| 0.1949        | 6.3   | 51500  | 0.5129          | 2.3903 | 35.1637 | 33.2113 |
| 0.194         | 6.36  | 52000  | 0.5134          | 2.1318 | 34.7602 | 33.5885 |
| 0.1941        | 6.43  | 52500  | 0.5152          | 2.3425 | 34.4858 | 32.9135 |
| 0.1935        | 6.49  | 53000  | 0.5145          | 2.6653 | 35.0061 | 32.8984 |
| 0.191         | 6.55  | 53500  | 0.5134          | 2.2906 | 34.8134 | 33.5412 |
| 0.1971        | 6.61  | 54000  | 0.5188          | 2.1944 | 34.8164 | 33.1378 |
| 0.1951        | 6.67  | 54500  | 0.5130          | 2.4214 | 34.5857 | 32.8249 |
| 0.1921        | 6.73  | 55000  | 0.5137          | 2.2722 | 34.8066 | 32.6298 |
| 0.1928        | 6.79  | 55500  | 0.5136          | 2.316  | 34.7798 | 34.0654 |
| 0.1945        | 6.85  | 56000  | 0.5114          | 2.1866 | 34.8094 | 32.6922 |
| 0.1936        | 6.92  | 56500  | 0.5133          | 2.3216 | 34.6351 | 33.0805 |
| 0.1957        | 6.98  | 57000  | 0.5123          | 2.2095 | 34.9906 | 33.8893 |
| 0.1888        | 7.04  | 57500  | 0.5172          | 2.2208 | 34.772  | 33.334  |
| 0.1842        | 7.1   | 58000  | 0.5167          | 1.9387 | 34.6291 | 32.6278 |
| 0.1866        | 7.16  | 58500  | 0.5154          | 2.1733 | 35.019  | 32.8179 |
| 0.1869        | 7.22  | 59000  | 0.5187          | 2.0185 | 34.7933 | 33.4386 |
| 0.1851        | 7.28  | 59500  | 0.5158          | 2.2565 | 34.9985 | 33.3934 |
| 0.1846        | 7.34  | 60000  | 0.5182          | 2.087  | 35.3032 | 33.6207 |
| 0.1844        | 7.41  | 60500  | 0.5163          | 2.2813 | 34.9024 | 33.1127 |
| 0.1888        | 7.47  | 61000  | 0.5140          | 2.3832 | 35.0925 | 33.4527 |
| 0.1883        | 7.53  | 61500  | 0.5140          | 2.4389 | 35.3911 | 33.0121 |
| 0.1866        | 7.59  | 62000  | 0.5186          | 2.1768 | 35.0476 | 33.331  |
| 0.1854        | 7.65  | 62500  | 0.5182          | 2.1011 | 34.9619 | 33.7274 |
| 0.1895        | 7.71  | 63000  | 0.5166          | 2.2003 | 35.1485 | 33.2384 |
| 0.1907        | 7.77  | 63500  | 0.5167          | 2.1704 | 34.7886 | 33.1499 |
| 0.1868        | 7.83  | 64000  | 0.5177          | 2.4642 | 35.3304 | 33.494  |
| 0.1845        | 7.89  | 64500  | 0.5185          | 1.8674 | 35.2574 | 33.5372 |
| 0.1853        | 7.96  | 65000  | 0.5139          | 2.2624 | 35.2208 | 33.5604 |
| 0.1843        | 8.02  | 65500  | 0.5198          | 2.3718 | 35.0122 | 33.2485 |
| 0.1792        | 8.08  | 66000  | 0.5195          | 2.2219 | 34.6203 | 33.008  |
| 0.1813        | 8.14  | 66500  | 0.5213          | 2.2907 | 34.9642 | 33.4889 |
| 0.1783        | 8.2   | 67000  | 0.5181          | 2.4924 | 35.0622 | 32.996  |
| 0.1793        | 8.26  | 67500  | 0.5177          | 2.521  | 35.1152 | 33.3652 |
| 0.1815        | 8.32  | 68000  | 0.5197          | 2.186  | 34.9455 | 32.8964 |
| 0.1807        | 8.38  | 68500  | 0.5203          | 2.0672 | 34.8115 | 32.9658 |
| 0.1793        | 8.45  | 69000  | 0.5209          | 1.8363 | 35.0798 | 33.0674 |
| 0.1799        | 8.51  | 69500  | 0.5196          | 2.3825 | 35.3234 | 33.9738 |
| 0.179         | 8.57  | 70000  | 0.5219          | 2.275  | 34.7929 | 32.8239 |
| 0.1783        | 8.63  | 70500  | 0.5197          | 2.3194 | 35.0171 | 33.6288 |
| 0.1813        | 8.69  | 71000  | 0.5171          | 2.2258 | 35.1631 | 33.3873 |
| 0.1809        | 8.75  | 71500  | 0.5190          | 2.5308 | 35.1173 | 33.34   |
| 0.1805        | 8.81  | 72000  | 0.5171          | 1.9332 | 35.0571 | 32.9678 |
| 0.1786        | 8.87  | 72500  | 0.5157          | 2.2382 | 35.0783 | 32.9406 |
| 0.1811        | 8.94  | 73000  | 0.5201          | 2.2583 | 35.0626 | 33.4859 |
| 0.1804        | 9.0   | 73500  | 0.5177          | 2.278  | 34.693  | 33.1942 |
| 0.1745        | 9.06  | 74000  | 0.5210          | 2.2431 | 35.1854 | 33.6841 |
| 0.1731        | 9.12  | 74500  | 0.5219          | 2.3838 | 35.0609 | 33.7626 |
| 0.1745        | 9.18  | 75000  | 0.5205          | 2.3049 | 35.049  | 33.2394 |
| 0.1733        | 9.24  | 75500  | 0.5239          | 2.5352 | 35.2192 | 33.8048 |
| 0.1749        | 9.3   | 76000  | 0.5216          | 2.3165 | 34.7239 | 33.1087 |
| 0.1726        | 9.36  | 76500  | 0.5214          | 2.4599 | 34.9216 | 33.4487 |
| 0.175         | 9.42  | 77000  | 0.5245          | 2.5992 | 35.0381 | 33.1167 |
| 0.1753        | 9.49  | 77500  | 0.5248          | 2.2165 | 34.9097 | 33.1529 |
| 0.1751        | 9.55  | 78000  | 0.5208          | 2.7439 | 35.1761 | 33.2123 |
| 0.1751        | 9.61  | 78500  | 0.5207          | 2.5099 | 35.1488 | 32.8642 |
| 0.1729        | 9.67  | 79000  | 0.5239          | 2.534  | 35.0639 | 33.3682 |
| 0.1763        | 9.73  | 79500  | 0.5228          | 2.3696 | 34.5217 | 32.669  |
| 0.1719        | 9.79  | 80000  | 0.5241          | 2.4858 | 34.8637 | 33.2716 |
| 0.1753        | 9.85  | 80500  | 0.5204          | 2.3656 | 34.9314 | 32.7535 |
| 0.177         | 9.91  | 81000  | 0.5197          | 2.2903 | 35.0575 | 33.0634 |
| 0.1752        | 9.98  | 81500  | 0.5238          | 2.1415 | 34.9044 | 33.0392 |
| 0.1695        | 10.04 | 82000  | 0.5237          | 2.1674 | 34.9343 | 33.0926 |
| 0.1696        | 10.1  | 82500  | 0.5254          | 2.5423 | 34.91   | 33.0322 |
| 0.1667        | 10.16 | 83000  | 0.5278          | 1.9003 | 34.8527 | 32.7414 |
| 0.1701        | 10.22 | 83500  | 0.5283          | 2.4784 | 34.913  | 32.832  |
| 0.1689        | 10.28 | 84000  | 0.5232          | 2.492  | 35.2142 | 33.2374 |
| 0.1706        | 10.34 | 84500  | 0.5262          | 2.5049 | 35.2206 | 33.2817 |
| 0.1698        | 10.4  | 85000  | 0.5239          | 2.3618 | 34.9215 | 32.8119 |
| 0.1717        | 10.47 | 85500  | 0.5265          | 2.4575 | 34.9778 | 32.6026 |
| 0.1678        | 10.53 | 86000  | 0.5249          | 2.3199 | 34.8019 | 33.3028 |
| 0.1703        | 10.59 | 86500  | 0.5219          | 2.4114 | 34.9716 | 33.3089 |
| 0.1708        | 10.65 | 87000  | 0.5239          | 2.0047 | 34.8404 | 32.7777 |
| 0.1704        | 10.71 | 87500  | 0.5253          | 2.5167 | 35.2791 | 33.4588 |
| 0.1692        | 10.77 | 88000  | 0.5242          | 2.5192 | 35.1455 | 33.006  |
| 0.172         | 10.83 | 88500  | 0.5218          | 2.2699 | 35.1763 | 33.326  |
| 0.1712        | 10.89 | 89000  | 0.5246          | 2.332  | 35.2355 | 33.1247 |
| 0.1669        | 10.95 | 89500  | 0.5227          | 2.2954 | 35.279  | 33.2746 |
| 0.1663        | 11.02 | 90000  | 0.5250          | 2.4965 | 35.2613 | 33.3421 |
| 0.1653        | 11.08 | 90500  | 0.5278          | 2.324  | 35.1194 | 33.328  |
| 0.1656        | 11.14 | 91000  | 0.5257          | 2.2204 | 35.0059 | 33.1922 |
| 0.1643        | 11.2  | 91500  | 0.5261          | 2.2693 | 34.9625 | 33.2324 |
| 0.1654        | 11.26 | 92000  | 0.5271          | 2.5063 | 35.3606 | 33.4738 |
| 0.1634        | 11.32 | 92500  | 0.5255          | 2.303  | 35.0965 | 33.4688 |
| 0.1653        | 11.38 | 93000  | 0.5259          | 2.4993 | 34.8866 | 33.164  |
| 0.1662        | 11.44 | 93500  | 0.5257          | 2.0667 | 35.0151 | 33.505  |
| 0.1632        | 11.51 | 94000  | 0.5254          | 2.5568 | 35.0299 | 33.3883 |
| 0.1652        | 11.57 | 94500  | 0.5278          | 2.5814 | 34.992  | 32.5664 |
| 0.1639        | 11.63 | 95000  | 0.5304          | 2.41   | 34.9007 | 33.161  |
| 0.1622        | 11.69 | 95500  | 0.5247          | 2.4703 | 34.993  | 32.9457 |
| 0.1673        | 11.75 | 96000  | 0.5268          | 2.3927 | 35.0372 | 33.2938 |
| 0.1677        | 11.81 | 96500  | 0.5281          | 2.6505 | 34.8506 | 32.494  |
| 0.165         | 11.87 | 97000  | 0.5303          | 2.4796 | 35.0554 | 33.2183 |
| 0.1662        | 11.93 | 97500  | 0.5254          | 2.5202 | 35.1451 | 33.5986 |
| 0.1658        | 12.0  | 98000  | 0.5277          | 2.2551 | 35.2497 | 33.4869 |
| 0.1603        | 12.06 | 98500  | 0.5288          | 2.5281 | 35.103  | 33.338  |
| 0.1614        | 12.12 | 99000  | 0.5304          | 2.3583 | 35.3678 | 33.008  |
| 0.1585        | 12.18 | 99500  | 0.5289          | 2.1341 | 34.9736 | 33.2284 |
| 0.1616        | 12.24 | 100000 | 0.5299          | 2.2275 | 35.3401 | 33.5322 |
| 0.1592        | 12.3  | 100500 | 0.5268          | 2.1927 | 35.1932 | 33.5322 |
| 0.1606        | 12.36 | 101000 | 0.5315          | 2.2762 | 34.8855 | 33.2002 |
| 0.1617        | 12.42 | 101500 | 0.5304          | 1.919  | 35.2037 | 33.4688 |
| 0.1617        | 12.48 | 102000 | 0.5276          | 2.3777 | 35.0109 | 33.0724 |
| 0.1618        | 12.55 | 102500 | 0.5320          | 2.4878 | 35.1188 | 33.0674 |
| 0.163         | 12.61 | 103000 | 0.5296          | 2.6783 | 35.09   | 33.3632 |
| 0.1601        | 12.67 | 103500 | 0.5295          | 2.5972 | 34.8251 | 32.7837 |
| 0.1625        | 12.73 | 104000 | 0.5308          | 2.5953 | 34.816  | 33.2223 |
| 0.1628        | 12.79 | 104500 | 0.5291          | 2.6627 | 34.9021 | 33.1046 |
| 0.1594        | 12.85 | 105000 | 0.5320          | 2.185  | 35.2024 | 33.499  |
| 0.1641        | 12.91 | 105500 | 0.5282          | 2.2681 | 35.1077 | 33.2918 |
| 0.1632        | 12.97 | 106000 | 0.5267          | 2.6085 | 34.9718 | 33.0453 |
| 0.1592        | 13.04 | 106500 | 0.5314          | 2.6758 | 34.8983 | 33.1539 |
| 0.1593        | 13.1  | 107000 | 0.5336          | 2.431  | 34.8698 | 33.0624 |
| 0.1567        | 13.16 | 107500 | 0.5336          | 2.4034 | 34.7205 | 32.9245 |
| 0.1613        | 13.22 | 108000 | 0.5319          | 2.4685 | 35.1304 | 33.0493 |
| 0.1572        | 13.28 | 108500 | 0.5319          | 2.701  | 34.8217 | 33.0201 |
| 0.1586        | 13.34 | 109000 | 0.5324          | 2.6884 | 34.9147 | 32.8109 |
| 0.1565        | 13.4  | 109500 | 0.5327          | 1.9804 | 35.0132 | 33.2978 |
| 0.1578        | 13.46 | 110000 | 0.5310          | 2.4774 | 35.0983 | 33.4085 |
| 0.1593        | 13.53 | 110500 | 0.5310          | 2.5479 | 35.4449 | 33.7062 |
| 0.1559        | 13.59 | 111000 | 0.5338          | 2.3537 | 34.9088 | 33.0433 |
| 0.1592        | 13.65 | 111500 | 0.5321          | 2.2951 | 34.9337 | 32.7264 |
| 0.1599        | 13.71 | 112000 | 0.5323          | 2.1814 | 35.0657 | 33.4316 |
| 0.1549        | 13.77 | 112500 | 0.5343          | 2.4706 | 35.0882 | 33.4628 |
| 0.1583        | 13.83 | 113000 | 0.5296          | 2.5468 | 35.0331 | 32.9386 |
| 0.1579        | 13.89 | 113500 | 0.5303          | 2.6679 | 35.309  | 32.996  |
| 0.1582        | 13.95 | 114000 | 0.5323          | 2.4064 | 35.1723 | 33.2555 |
| 0.1563        | 14.01 | 114500 | 0.5348          | 2.4503 | 35.111  | 33.4195 |
| 0.1517        | 14.08 | 115000 | 0.5355          | 2.5443 | 35.3299 | 33.5372 |
| 0.1537        | 14.14 | 115500 | 0.5350          | 2.354  | 34.975  | 33.3089 |
| 0.1549        | 14.2  | 116000 | 0.5354          | 2.6566 | 34.9697 | 33.3561 |
| 0.154         | 14.26 | 116500 | 0.5342          | 2.5811 | 34.9067 | 33.338  |
| 0.1562        | 14.32 | 117000 | 0.5334          | 2.8386 | 35.1147 | 33.0634 |
| 0.1555        | 14.38 | 117500 | 0.5356          | 2.621  | 35.235  | 33.332  |
| 0.1551        | 14.44 | 118000 | 0.5345          | 2.6434 | 34.9156 | 32.9759 |
| 0.1553        | 14.5  | 118500 | 0.5343          | 2.8222 | 35.0846 | 33.336  |
| 0.1548        | 14.57 | 119000 | 0.5341          | 2.5853 | 34.8771 | 32.9306 |
| 0.1545        | 14.63 | 119500 | 0.5334          | 2.608  | 35.1324 | 33.1569 |
| 0.1565        | 14.69 | 120000 | 0.5333          | 2.3449 | 35.2465 | 33.3008 |
| 0.1578        | 14.75 | 120500 | 0.5334          | 2.4331 | 35.0261 | 33.1268 |
| 0.1565        | 14.81 | 121000 | 0.5338          | 2.5126 | 35.1174 | 33.0855 |
| 0.1576        | 14.87 | 121500 | 0.5319          | 2.643  | 35.2291 | 33.3461 |
| 0.1535        | 14.93 | 122000 | 0.5318          | 2.6643 | 35.0675 | 33.0835 |
| 0.1544        | 14.99 | 122500 | 0.5328          | 2.7986 | 35.221  | 33.4517 |
| 0.1527        | 15.06 | 123000 | 0.5364          | 2.433  | 35.3005 | 33.6217 |
| 0.1531        | 15.12 | 123500 | 0.5367          | 2.4569 | 35.1446 | 33.2706 |
| 0.1512        | 15.18 | 124000 | 0.5369          | 2.5325 | 34.9011 | 32.994  |
| 0.1511        | 15.24 | 124500 | 0.5378          | 2.4247 | 35.0081 | 32.9517 |
| 0.1494        | 15.3  | 125000 | 0.5354          | 2.6675 | 35.2802 | 33.3451 |
| 0.1513        | 15.36 | 125500 | 0.5380          | 2.706  | 35.3454 | 32.9779 |
| 0.1556        | 15.42 | 126000 | 0.5349          | 2.6606 | 35.2983 | 33.2384 |
| 0.152         | 15.48 | 126500 | 0.5374          | 2.7716 | 35.1135 | 33.1429 |
| 0.1539        | 15.54 | 127000 | 0.5357          | 2.4622 | 35.1187 | 33.0302 |
| 0.1522        | 15.61 | 127500 | 0.5376          | 2.7958 | 35.2546 | 33.1489 |
| 0.155         | 15.67 | 128000 | 0.5366          | 2.4966 | 34.9292 | 32.7143 |
| 0.1523        | 15.73 | 128500 | 0.5347          | 2.5537 | 34.9162 | 33.1046 |
| 0.1554        | 15.79 | 129000 | 0.5349          | 2.7393 | 35.1069 | 33.2082 |
| 0.1527        | 15.85 | 129500 | 0.5361          | 2.3551 | 35.2359 | 33.3893 |
| 0.1532        | 15.91 | 130000 | 0.5373          | 2.3327 | 35.0024 | 33.0141 |
| 0.1505        | 15.97 | 130500 | 0.5386          | 2.4325 | 34.8422 | 32.827  |
| 0.1519        | 16.03 | 131000 | 0.5370          | 2.7083 | 35.196  | 33.0744 |
| 0.1492        | 16.1  | 131500 | 0.5382          | 2.4176 | 35.2017 | 33.1509 |
| 0.1502        | 16.16 | 132000 | 0.5382          | 1.9908 | 34.9532 | 33.1026 |
| 0.1505        | 16.22 | 132500 | 0.5378          | 2.3938 | 34.8257 | 33.1398 |
| 0.1497        | 16.28 | 133000 | 0.5394          | 2.5119 | 35.1199 | 33.3139 |
| 0.15          | 16.34 | 133500 | 0.5381          | 2.5172 | 35.0647 | 32.9718 |
| 0.1501        | 16.4  | 134000 | 0.5387          | 2.6483 | 35.1301 | 33.3139 |
| 0.1496        | 16.46 | 134500 | 0.5387          | 2.3792 | 35.0936 | 33.1358 |
| 0.1507        | 16.52 | 135000 | 0.5383          | 2.2621 | 35.3078 | 33.3763 |
| 0.1493        | 16.59 | 135500 | 0.5389          | 2.744  | 35.3558 | 33.2525 |
| 0.1494        | 16.65 | 136000 | 0.5386          | 2.3218 | 35.0754 | 33.2425 |
| 0.1516        | 16.71 | 136500 | 0.5395          | 2.3908 | 34.9863 | 33.0302 |
| 0.1491        | 16.77 | 137000 | 0.5397          | 2.4509 | 35.0017 | 33.4044 |
| 0.1512        | 16.83 | 137500 | 0.5395          | 2.5314 | 35.0975 | 33.2042 |
| 0.1509        | 16.89 | 138000 | 0.5389          | 2.4688 | 34.8711 | 33.0493 |
| 0.1517        | 16.95 | 138500 | 0.5388          | 2.3796 | 35.1383 | 33.1982 |
| 0.1516        | 17.01 | 139000 | 0.5396          | 2.5719 | 34.9446 | 33.4195 |
| 0.1467        | 17.07 | 139500 | 0.5406          | 2.76   | 34.9953 | 33.2525 |
| 0.1498        | 17.14 | 140000 | 0.5410          | 2.4061 | 35.1196 | 33.0946 |
| 0.1491        | 17.2  | 140500 | 0.5396          | 2.6469 | 35.2868 | 33.5473 |
| 0.1492        | 17.26 | 141000 | 0.5411          | 2.5395 | 35.1808 | 33.4225 |
| 0.1506        | 17.32 | 141500 | 0.5405          | 2.5481 | 35.1489 | 33.5111 |
| 0.1461        | 17.38 | 142000 | 0.5417          | 2.3111 | 35.0102 | 33.1278 |
| 0.1505        | 17.44 | 142500 | 0.5401          | 2.4497 | 35.0826 | 33.4175 |
| 0.1477        | 17.5  | 143000 | 0.5389          | 2.5452 | 34.9631 | 33.3109 |
| 0.1476        | 17.56 | 143500 | 0.5418          | 2.7374 | 34.8662 | 32.9044 |
| 0.1489        | 17.63 | 144000 | 0.5403          | 2.5838 | 35.0227 | 33.0513 |
| 0.1499        | 17.69 | 144500 | 0.5397          | 2.4883 | 35.3753 | 33.3028 |
| 0.1459        | 17.75 | 145000 | 0.5393          | 2.3722 | 35.0427 | 33.1268 |
| 0.1473        | 17.81 | 145500 | 0.5401          | 2.6967 | 34.9388 | 33.3672 |
| 0.1484        | 17.87 | 146000 | 0.5406          | 2.5086 | 34.9813 | 33.0734 |
| 0.1489        | 17.93 | 146500 | 0.5403          | 2.7184 | 35.1614 | 33.1137 |
| 0.1488        | 17.99 | 147000 | 0.5413          | 2.7788 | 35.2434 | 33.5201 |
| 0.1462        | 18.05 | 147500 | 0.5415          | 2.7858 | 35.1306 | 33.3521 |
| 0.148         | 18.12 | 148000 | 0.5406          | 2.7313 | 34.9823 | 32.9588 |
| 0.1459        | 18.18 | 148500 | 0.5414          | 2.4159 | 35.047  | 33.2455 |
| 0.1492        | 18.24 | 149000 | 0.5412          | 2.4617 | 35.0451 | 33.2213 |
| 0.1466        | 18.3  | 149500 | 0.5411          | 2.3902 | 35.0494 | 33.1901 |
| 0.1475        | 18.36 | 150000 | 0.5406          | 2.6175 | 35.0336 | 32.9909 |
| 0.1453        | 18.42 | 150500 | 0.5407          | 2.4948 | 35.0448 | 32.9366 |
| 0.1443        | 18.48 | 151000 | 0.5403          | 2.6749 | 35.1871 | 33.1861 |
| 0.1473        | 18.54 | 151500 | 0.5401          | 2.5487 | 35.2026 | 33.0604 |
| 0.1456        | 18.6  | 152000 | 0.5398          | 2.5826 | 35.0012 | 32.9879 |
| 0.1467        | 18.67 | 152500 | 0.5398          | 2.4385 | 35.0235 | 33.0201 |
| 0.1483        | 18.73 | 153000 | 0.5410          | 2.5969 | 34.9183 | 33.0543 |
| 0.1484        | 18.79 | 153500 | 0.5414          | 2.707  | 35.163  | 33.2093 |
| 0.1486        | 18.85 | 154000 | 0.5400          | 2.4765 | 35.0631 | 33.0573 |
| 0.1477        | 18.91 | 154500 | 0.5403          | 2.5421 | 35.1549 | 32.9346 |
| 0.148         | 18.97 | 155000 | 0.5414          | 2.4963 | 34.9687 | 33.1298 |
| 0.1457        | 19.03 | 155500 | 0.5418          | 2.5232 | 34.9675 | 32.9577 |
| 0.1464        | 19.09 | 156000 | 0.5416          | 2.4857 | 35.1609 | 33.2978 |
| 0.1462        | 19.16 | 156500 | 0.5414          | 2.6489 | 35.1326 | 33.2233 |
| 0.1443        | 19.22 | 157000 | 0.5421          | 2.6008 | 35.218  | 33.2555 |
| 0.1447        | 19.28 | 157500 | 0.5415          | 2.4443 | 34.9947 | 33.1328 |
| 0.146         | 19.34 | 158000 | 0.5415          | 2.6343 | 35.1218 | 33.159  |
| 0.146         | 19.4  | 158500 | 0.5419          | 2.6944 | 35.2223 | 33.3722 |
| 0.1458        | 19.46 | 159000 | 0.5419          | 2.4237 | 35.1222 | 33.2646 |
| 0.1459        | 19.52 | 159500 | 0.5422          | 2.6489 | 35.0196 | 33.1811 |
| 0.1481        | 19.58 | 160000 | 0.5423          | 2.5228 | 35.1774 | 33.3209 |
| 0.145         | 19.65 | 160500 | 0.5419          | 2.6893 | 35.2431 | 33.1841 |
| 0.1463        | 19.71 | 161000 | 0.5415          | 2.5176 | 35.1588 | 33.2847 |
| 0.1465        | 19.77 | 161500 | 0.5413          | 2.6651 | 35.295  | 33.2686 |
| 0.1463        | 19.83 | 162000 | 0.5413          | 2.472  | 35.3013 | 33.2968 |
| 0.1455        | 19.89 | 162500 | 0.5415          | 2.4636 | 35.2344 | 33.2455 |
| 0.1473        | 19.95 | 163000 | 0.5414          | 2.4777 | 35.3072 | 33.2767 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3
{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu", "chrf"], "model-index": [{"name": "es_fi_orig_quy", "results": []}]}
transformers pytorch marian text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #marian #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

es\_fi\_orig\_quy
=================


This model is a fine-tuned version of Helsinki-NLP/opus-mt-es-fi on the AmericasNLP2023 Original Task's dataset for Quechua.
It achieves the following results on the evaluation set:


* Loss: 0.5414
* Bleu: 2.4777
* Chrf: 35.3072
* Gen Len: 33.2767


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: 20
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu117
* Datasets 2.11.0
* Tokenizers 0.13.3



### 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: 20
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu117
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #marian #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### 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: 20
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu117
* Datasets 2.11.0
* Tokenizers 0.13.3