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# es_en_orig_quy

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-en](https://huggingface.co/Helsinki-NLP/opus-mt-es-en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6309
- Bleu: 2.751
- Chrf: 34.8573
- Gen Len: 28.8089

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|:-------:|
| 1.0473        | 0.06  | 500    | 0.8214          | 0.7111 | 17.0433 | 36.2626 |
| 0.6378        | 0.12  | 1000   | 0.7779          | 1.4359 | 20.4891 | 29.9628 |
| 0.573         | 0.18  | 1500   | 0.7528          | 1.119  | 18.8909 | 31.7354 |
| 0.536         | 0.24  | 2000   | 0.7324          | 1.0531 | 21.6629 | 28.5372 |
| 0.4989        | 0.31  | 2500   | 0.7180          | 1.2347 | 22.7997 | 29.7867 |
| 0.4878        | 0.37  | 3000   | 0.7022          | 1.3464 | 24.4726 | 29.668  |
| 0.463         | 0.43  | 3500   | 0.6895          | 1.1066 | 23.793  | 28.5423 |
| 0.4509        | 0.49  | 4000   | 0.6807          | 1.7455 | 25.5336 | 27.4074 |
| 0.4401        | 0.55  | 4500   | 0.6711          | 1.3845 | 25.1955 | 26.3813 |
| 0.4319        | 0.61  | 5000   | 0.6644          | 1.6155 | 26.1489 | 27.1942 |
| 0.4188        | 0.67  | 5500   | 0.6625          | 1.7162 | 27.3032 | 29.4437 |
| 0.4055        | 0.73  | 6000   | 0.6537          | 1.7053 | 27.2539 | 27.8048 |
| 0.3994        | 0.8   | 6500   | 0.6531          | 1.8675 | 27.4833 | 27.1419 |
| 0.3977        | 0.86  | 7000   | 0.6516          | 1.8732 | 27.8791 | 27.5674 |
| 0.3928        | 0.92  | 7500   | 0.6468          | 1.991  | 28.6175 | 27.6549 |
| 0.3795        | 0.98  | 8000   | 0.6455          | 2.1076 | 28.2005 | 31.829  |
| 0.3677        | 1.04  | 8500   | 0.6411          | 1.991  | 29.4649 | 28.8431 |
| 0.3609        | 1.1   | 9000   | 0.6364          | 2.0195 | 29.2979 | 29.0986 |
| 0.3599        | 1.16  | 9500   | 0.6340          | 1.9495 | 29.3148 | 27.7485 |
| 0.3461        | 1.22  | 10000  | 0.6301          | 1.9755 | 30.2666 | 28.998  |
| 0.3494        | 1.29  | 10500  | 0.6337          | 2.0774 | 29.7977 | 29.4195 |
| 0.3506        | 1.35  | 11000  | 0.6277          | 2.0211 | 29.9298 | 28.0986 |
| 0.3453        | 1.41  | 11500  | 0.6289          | 2.0223 | 30.3173 | 28.7757 |
| 0.3398        | 1.47  | 12000  | 0.6243          | 2.3935 | 30.9222 | 29.0986 |
| 0.3373        | 1.53  | 12500  | 0.6260          | 2.4454 | 31.0784 | 27.999  |
| 0.3354        | 1.59  | 13000  | 0.6222          | 2.0863 | 30.3551 | 27.9125 |
| 0.3323        | 1.65  | 13500  | 0.6206          | 2.2159 | 30.9396 | 28.8441 |
| 0.3271        | 1.71  | 14000  | 0.6213          | 2.2952 | 31.2255 | 28.7978 |
| 0.324         | 1.77  | 14500  | 0.6160          | 2.1755 | 31.4069 | 28.8219 |
| 0.328         | 1.84  | 15000  | 0.6105          | 2.1062 | 31.3412 | 28.3551 |
| 0.3283        | 1.9   | 15500  | 0.6118          | 2.1662 | 31.8505 | 29.0241 |
| 0.3252        | 1.96  | 16000  | 0.6125          | 2.0541 | 31.6742 | 29.335  |
| 0.3127        | 2.02  | 16500  | 0.6119          | 2.0167 | 31.3788 | 27.1499 |
| 0.3073        | 2.08  | 17000  | 0.6111          | 2.1154 | 31.1741 | 28.8159 |
| 0.3061        | 2.14  | 17500  | 0.6128          | 2.2594 | 31.9415 | 28.0563 |
| 0.3086        | 2.2   | 18000  | 0.6108          | 2.0102 | 31.6106 | 29.2384 |
| 0.3053        | 2.26  | 18500  | 0.6096          | 2.2419 | 32.3603 | 28.2012 |
| 0.3001        | 2.33  | 19000  | 0.6145          | 2.2228 | 32.0512 | 28.2082 |
| 0.2995        | 2.39  | 19500  | 0.6130          | 2.2832 | 31.975  | 27.9809 |
| 0.3018        | 2.45  | 20000  | 0.6084          | 2.0829 | 31.8214 | 28.6368 |
| 0.301         | 2.51  | 20500  | 0.6076          | 2.0945 | 32.4369 | 29.1569 |
| 0.2975        | 2.57  | 21000  | 0.6045          | 2.1488 | 32.5463 | 28.9014 |
| 0.2935        | 2.63  | 21500  | 0.6072          | 2.1841 | 32.4359 | 28.5191 |
| 0.294         | 2.69  | 22000  | 0.6045          | 1.9572 | 31.7954 | 28.2344 |
| 0.2989        | 2.75  | 22500  | 0.6029          | 2.238  | 32.5904 | 28.8581 |
| 0.2851        | 2.82  | 23000  | 0.6042          | 1.9788 | 32.3171 | 30.0734 |
| 0.2913        | 2.88  | 23500  | 0.6021          | 2.1175 | 32.7805 | 30.1137 |
| 0.2898        | 2.94  | 24000  | 0.6013          | 2.2142 | 32.7427 | 28.7002 |
| 0.2931        | 3.0   | 24500  | 0.6041          | 2.4647 | 32.4348 | 28.8008 |
| 0.2799        | 3.06  | 25000  | 0.6015          | 2.3744 | 33.0465 | 29.3632 |
| 0.2748        | 3.12  | 25500  | 0.5991          | 2.3361 | 32.311  | 28.9306 |
| 0.2787        | 3.18  | 26000  | 0.6023          | 2.3149 | 32.6274 | 28.5382 |
| 0.274         | 3.24  | 26500  | 0.6003          | 2.4224 | 33.4939 | 29.1459 |
| 0.2763        | 3.3   | 27000  | 0.6020          | 2.5508 | 33.5462 | 28.5654 |
| 0.2771        | 3.37  | 27500  | 0.6032          | 2.1693 | 32.952  | 30.5624 |
| 0.277         | 3.43  | 28000  | 0.5981          | 2.2154 | 33.081  | 30.5644 |
| 0.2681        | 3.49  | 28500  | 0.5992          | 2.4107 | 33.079  | 28.3783 |
| 0.2718        | 3.55  | 29000  | 0.5977          | 2.3299 | 33.083  | 29.2586 |
| 0.2722        | 3.61  | 29500  | 0.5983          | 2.4453 | 33.8041 | 29.7344 |
| 0.27          | 3.67  | 30000  | 0.5992          | 2.3506 | 32.9997 | 29.495  |
| 0.2734        | 3.73  | 30500  | 0.5985          | 2.3399 | 33.4602 | 29.1368 |
| 0.2723        | 3.79  | 31000  | 0.5966          | 2.4153 | 33.1652 | 28.9527 |
| 0.2748        | 3.86  | 31500  | 0.5974          | 2.1353 | 33.0986 | 30.0563 |
| 0.2708        | 3.92  | 32000  | 0.5939          | 2.3157 | 32.8473 | 29.0825 |
| 0.2726        | 3.98  | 32500  | 0.5938          | 2.434  | 33.3837 | 29.4346 |
| 0.2617        | 4.04  | 33000  | 0.6028          | 2.4655 | 33.4206 | 28.6841 |
| 0.2557        | 4.1   | 33500  | 0.6058          | 2.1632 | 32.9109 | 28.9215 |
| 0.2579        | 4.16  | 34000  | 0.5967          | 2.4645 | 33.5773 | 28.9527 |
| 0.2609        | 4.22  | 34500  | 0.6004          | 2.383  | 33.5559 | 29.0221 |
| 0.2587        | 4.28  | 35000  | 0.5991          | 2.5586 | 33.5029 | 28.4256 |
| 0.2596        | 4.35  | 35500  | 0.5974          | 2.5072 | 34.0648 | 28.7867 |
| 0.2564        | 4.41  | 36000  | 0.5974          | 2.4318 | 33.8429 | 29.6419 |
| 0.2599        | 4.47  | 36500  | 0.5952          | 2.488  | 33.605  | 28.5875 |
| 0.2572        | 4.53  | 37000  | 0.5942          | 2.5619 | 33.298  | 28.7646 |
| 0.2578        | 4.59  | 37500  | 0.5962          | 2.4273 | 33.529  | 28.6187 |
| 0.2551        | 4.65  | 38000  | 0.5967          | 2.8284 | 33.7729 | 28.8903 |
| 0.2555        | 4.71  | 38500  | 0.5929          | 2.6018 | 33.4159 | 28.8189 |
| 0.2532        | 4.77  | 39000  | 0.5971          | 2.4928 | 33.6924 | 29.839  |
| 0.2489        | 4.83  | 39500  | 0.5963          | 2.4986 | 33.6991 | 28.8742 |
| 0.2567        | 4.9   | 40000  | 0.5972          | 2.3907 | 33.8456 | 29.7294 |
| 0.2506        | 4.96  | 40500  | 0.5933          | 2.4751 | 33.7787 | 28.5714 |
| 0.2533        | 5.02  | 41000  | 0.5989          | 2.5127 | 34.1493 | 28.6187 |
| 0.2426        | 5.08  | 41500  | 0.5968          | 2.4641 | 33.3581 | 28.2103 |
| 0.2466        | 5.14  | 42000  | 0.5931          | 2.4291 | 33.7823 | 28.4457 |
| 0.2407        | 5.2   | 42500  | 0.6031          | 2.4711 | 33.5649 | 28.334  |
| 0.2432        | 5.26  | 43000  | 0.5978          | 2.5116 | 33.8456 | 28.3239 |
| 0.2477        | 5.32  | 43500  | 0.6016          | 2.4278 | 33.7941 | 28.6932 |
| 0.2448        | 5.39  | 44000  | 0.5987          | 2.3864 | 34.2909 | 29.6962 |
| 0.2423        | 5.45  | 44500  | 0.6027          | 2.5332 | 34.1102 | 29.2264 |
| 0.2402        | 5.51  | 45000  | 0.5985          | 2.3967 | 33.7756 | 28.668  |
| 0.2427        | 5.57  | 45500  | 0.5966          | 2.5785 | 33.7703 | 29.3018 |
| 0.2447        | 5.63  | 46000  | 0.5957          | 2.2929 | 33.8479 | 29.6056 |
| 0.2414        | 5.69  | 46500  | 0.5977          | 2.3125 | 33.8854 | 28.3692 |
| 0.2443        | 5.75  | 47000  | 0.5927          | 2.3626 | 34.0472 | 28.9165 |
| 0.2423        | 5.81  | 47500  | 0.5945          | 2.4395 | 34.3819 | 28.9507 |
| 0.2444        | 5.88  | 48000  | 0.5957          | 2.2577 | 33.8561 | 28.168  |
| 0.241         | 5.94  | 48500  | 0.5972          | 2.4453 | 34.1828 | 28.8672 |
| 0.2418        | 6.0   | 49000  | 0.5968          | 2.2104 | 34.0775 | 29.6016 |
| 0.2313        | 6.06  | 49500  | 0.5972          | 2.4209 | 33.904  | 28.7726 |
| 0.2311        | 6.12  | 50000  | 0.5956          | 2.4796 | 34.5869 | 28.8561 |
| 0.2316        | 6.18  | 50500  | 0.6004          | 2.4623 | 34.0937 | 28.4175 |
| 0.2357        | 6.24  | 51000  | 0.5979          | 2.3804 | 34.5132 | 29.0201 |
| 0.234         | 6.3   | 51500  | 0.5992          | 2.3018 | 34.1685 | 29.3058 |
| 0.2322        | 6.36  | 52000  | 0.5981          | 2.4152 | 33.9227 | 28.1137 |
| 0.2322        | 6.43  | 52500  | 0.5956          | 2.5334 | 34.1155 | 29.0221 |
| 0.2308        | 6.49  | 53000  | 0.6005          | 2.1759 | 33.7251 | 29.0724 |
| 0.2288        | 6.55  | 53500  | 0.5943          | 2.4034 | 34.1537 | 28.6328 |
| 0.2357        | 6.61  | 54000  | 0.5985          | 2.5652 | 33.8533 | 28.2877 |
| 0.2333        | 6.67  | 54500  | 0.6000          | 2.35   | 34.0026 | 29.336  |
| 0.2302        | 6.73  | 55000  | 0.5981          | 2.6286 | 34.4534 | 29.0252 |
| 0.2307        | 6.79  | 55500  | 0.5958          | 2.4327 | 34.3027 | 28.8249 |
| 0.233         | 6.85  | 56000  | 0.5959          | 2.5109 | 34.6236 | 28.7042 |
| 0.2318        | 6.92  | 56500  | 0.5980          | 2.6031 | 34.4364 | 28.2887 |
| 0.2344        | 6.98  | 57000  | 0.5972          | 2.4921 | 34.5806 | 29.0553 |
| 0.2261        | 7.04  | 57500  | 0.5999          | 2.521  | 34.1198 | 28.6791 |
| 0.2209        | 7.1   | 58000  | 0.6033          | 2.5297 | 34.5014 | 28.8883 |
| 0.2231        | 7.16  | 58500  | 0.6005          | 2.6356 | 34.6424 | 29.0111 |
| 0.2239        | 7.22  | 59000  | 0.6030          | 2.4542 | 34.563  | 28.7616 |
| 0.2216        | 7.28  | 59500  | 0.6030          | 2.3768 | 34.4505 | 28.6811 |
| 0.2207        | 7.34  | 60000  | 0.5998          | 2.3748 | 34.4635 | 28.3783 |
| 0.2206        | 7.41  | 60500  | 0.5975          | 2.3457 | 34.5259 | 28.4859 |
| 0.2252        | 7.47  | 61000  | 0.6005          | 2.6533 | 34.4452 | 28.3843 |
| 0.2249        | 7.53  | 61500  | 0.5988          | 2.4764 | 34.322  | 28.4235 |
| 0.2236        | 7.59  | 62000  | 0.6066          | 2.3159 | 34.5787 | 29.0835 |
| 0.2226        | 7.65  | 62500  | 0.6018          | 2.3104 | 34.755  | 28.9024 |
| 0.2265        | 7.71  | 63000  | 0.6026          | 2.4038 | 34.1573 | 28.1761 |
| 0.2287        | 7.77  | 63500  | 0.6000          | 2.2903 | 34.5371 | 28.7525 |
| 0.2229        | 7.83  | 64000  | 0.6022          | 2.4527 | 34.2531 | 28.8421 |
| 0.2208        | 7.89  | 64500  | 0.5999          | 2.5312 | 34.4476 | 28.992  |
| 0.2213        | 7.96  | 65000  | 0.6021          | 2.5112 | 34.4451 | 28.7455 |
| 0.2204        | 8.02  | 65500  | 0.6034          | 2.4801 | 34.5879 | 28.832  |
| 0.2149        | 8.08  | 66000  | 0.6016          | 2.4674 | 34.6048 | 29.3441 |
| 0.2166        | 8.14  | 66500  | 0.6026          | 2.3395 | 34.6422 | 29.4165 |
| 0.2124        | 8.2   | 67000  | 0.6048          | 2.4233 | 34.4643 | 28.5523 |
| 0.2149        | 8.26  | 67500  | 0.6024          | 2.4689 | 34.5844 | 29.0191 |
| 0.217         | 8.32  | 68000  | 0.6040          | 2.4434 | 34.5775 | 28.3753 |
| 0.2158        | 8.38  | 68500  | 0.6079          | 2.5131 | 34.186  | 28.9115 |
| 0.2142        | 8.45  | 69000  | 0.6049          | 2.5492 | 34.3894 | 28.832  |
| 0.2153        | 8.51  | 69500  | 0.6033          | 2.466  | 34.6952 | 29.4567 |
| 0.2145        | 8.57  | 70000  | 0.6055          | 2.4537 | 34.3353 | 28.5765 |
| 0.2133        | 8.63  | 70500  | 0.6021          | 2.2953 | 34.5461 | 28.666  |
| 0.2165        | 8.69  | 71000  | 0.6028          | 2.3889 | 34.706  | 28.8561 |
| 0.2171        | 8.75  | 71500  | 0.6058          | 2.2679 | 34.3039 | 28.7555 |
| 0.2169        | 8.81  | 72000  | 0.6048          | 2.41   | 34.7099 | 28.8913 |
| 0.2138        | 8.87  | 72500  | 0.6041          | 2.4994 | 34.256  | 28.5262 |
| 0.2165        | 8.94  | 73000  | 0.6066          | 2.306  | 34.4452 | 29.1841 |
| 0.2158        | 9.0   | 73500  | 0.6060          | 2.2252 | 34.6494 | 29.1237 |
| 0.2081        | 9.06  | 74000  | 0.6065          | 2.409  | 34.5011 | 29.6459 |
| 0.2067        | 9.12  | 74500  | 0.6077          | 2.4688 | 34.453  | 29.2636 |
| 0.208         | 9.18  | 75000  | 0.6116          | 2.4359 | 34.3253 | 28.7032 |
| 0.2072        | 9.24  | 75500  | 0.6071          | 2.3814 | 34.7431 | 29.0523 |
| 0.2093        | 9.3   | 76000  | 0.6070          | 2.5564 | 34.6551 | 29.1016 |
| 0.2068        | 9.36  | 76500  | 0.6091          | 2.4882 | 34.6221 | 28.7314 |
| 0.2092        | 9.42  | 77000  | 0.6087          | 2.4984 | 34.4045 | 28.5292 |
| 0.2092        | 9.49  | 77500  | 0.6116          | 2.5316 | 34.2851 | 28.8632 |
| 0.2097        | 9.55  | 78000  | 0.6096          | 2.4282 | 34.4743 | 29.0121 |
| 0.2088        | 9.61  | 78500  | 0.6079          | 2.4584 | 34.6955 | 28.7847 |
| 0.2073        | 9.67  | 79000  | 0.6089          | 2.5481 | 34.6829 | 29.2364 |
| 0.211         | 9.73  | 79500  | 0.6076          | 2.4617 | 34.6341 | 28.4306 |
| 0.2055        | 9.79  | 80000  | 0.6101          | 2.3738 | 34.4435 | 28.9708 |
| 0.2099        | 9.85  | 80500  | 0.6098          | 2.424  | 34.4798 | 28.8813 |
| 0.2116        | 9.91  | 81000  | 0.6062          | 2.5077 | 34.6985 | 28.9688 |
| 0.21          | 9.98  | 81500  | 0.6067          | 2.3215 | 34.3473 | 28.7696 |
| 0.2029        | 10.04 | 82000  | 0.6118          | 2.3372 | 34.5901 | 28.9779 |
| 0.2026        | 10.1  | 82500  | 0.6096          | 2.296  | 34.8033 | 28.7857 |
| 0.1994        | 10.16 | 83000  | 0.6148          | 2.3403 | 34.3745 | 29.002  |
| 0.2031        | 10.22 | 83500  | 0.6138          | 2.335  | 34.3731 | 28.8531 |
| 0.2019        | 10.28 | 84000  | 0.6106          | 2.4463 | 34.7185 | 29.1922 |
| 0.2037        | 10.34 | 84500  | 0.6109          | 2.2655 | 34.8919 | 29.1831 |
| 0.2026        | 10.4  | 85000  | 0.6133          | 2.5375 | 34.9363 | 28.8219 |
| 0.2056        | 10.47 | 85500  | 0.6109          | 2.4682 | 34.7983 | 29.159  |
| 0.2012        | 10.53 | 86000  | 0.6141          | 2.4703 | 34.8893 | 28.9316 |
| 0.2032        | 10.59 | 86500  | 0.6093          | 2.5175 | 35.033  | 29.1801 |
| 0.2035        | 10.65 | 87000  | 0.6091          | 2.4736 | 34.9436 | 28.6066 |
| 0.2043        | 10.71 | 87500  | 0.6109          | 2.4897 | 34.9335 | 28.8078 |
| 0.2031        | 10.77 | 88000  | 0.6098          | 2.5124 | 34.9311 | 28.8853 |
| 0.2046        | 10.83 | 88500  | 0.6093          | 2.5219 | 35.055  | 29.0272 |
| 0.2053        | 10.89 | 89000  | 0.6096          | 2.6349 | 34.88   | 28.8169 |
| 0.1995        | 10.95 | 89500  | 0.6080          | 2.6063 | 34.6953 | 28.6932 |
| 0.1987        | 11.02 | 90000  | 0.6120          | 2.6177 | 35.026  | 28.9074 |
| 0.1982        | 11.08 | 90500  | 0.6124          | 2.4237 | 34.5952 | 28.7062 |
| 0.1979        | 11.14 | 91000  | 0.6110          | 2.367  | 34.2564 | 28.5694 |
| 0.1963        | 11.2  | 91500  | 0.6096          | 2.6414 | 34.8418 | 28.4738 |
| 0.1989        | 11.26 | 92000  | 0.6109          | 2.5492 | 34.7083 | 28.5181 |
| 0.1951        | 11.32 | 92500  | 0.6130          | 2.4833 | 34.9199 | 28.7233 |
| 0.1973        | 11.38 | 93000  | 0.6156          | 2.5606 | 34.7202 | 28.7656 |
| 0.1973        | 11.44 | 93500  | 0.6147          | 2.3841 | 34.6415 | 28.5473 |
| 0.1952        | 11.51 | 94000  | 0.6140          | 2.4045 | 34.5362 | 28.4256 |
| 0.1971        | 11.57 | 94500  | 0.6142          | 2.383  | 34.7052 | 28.7515 |
| 0.196         | 11.63 | 95000  | 0.6147          | 2.5442 | 34.7816 | 28.5755 |
| 0.1934        | 11.69 | 95500  | 0.6134          | 2.6019 | 34.8241 | 28.7525 |
| 0.2003        | 11.75 | 96000  | 0.6121          | 2.5126 | 34.6382 | 28.5412 |
| 0.2008        | 11.81 | 96500  | 0.6117          | 2.509  | 34.898  | 28.5704 |
| 0.1969        | 11.87 | 97000  | 0.6144          | 2.5595 | 34.6971 | 28.661  |
| 0.1987        | 11.93 | 97500  | 0.6141          | 2.3949 | 34.6216 | 28.6449 |
| 0.1977        | 12.0  | 98000  | 0.6157          | 2.3919 | 34.5717 | 28.7093 |
| 0.1918        | 12.06 | 98500  | 0.6166          | 2.5262 | 34.5272 | 28.3732 |
| 0.1919        | 12.12 | 99000  | 0.6160          | 2.4698 | 34.6751 | 28.5262 |
| 0.1885        | 12.18 | 99500  | 0.6154          | 2.4553 | 34.4928 | 28.6781 |
| 0.1939        | 12.24 | 100000 | 0.6153          | 2.4935 | 34.7791 | 28.9386 |
| 0.1897        | 12.3  | 100500 | 0.6167          | 2.438  | 34.5046 | 28.9688 |
| 0.1921        | 12.36 | 101000 | 0.6174          | 2.522  | 34.5481 | 28.9276 |
| 0.1935        | 12.42 | 101500 | 0.6168          | 2.3808 | 34.6962 | 28.9799 |
| 0.1931        | 12.48 | 102000 | 0.6172          | 2.3268 | 34.3722 | 28.828  |
| 0.1928        | 12.55 | 102500 | 0.6154          | 2.5262 | 34.5165 | 28.7686 |
| 0.1951        | 12.61 | 103000 | 0.6153          | 2.4008 | 34.5959 | 28.995  |
| 0.1918        | 12.67 | 103500 | 0.6165          | 2.4971 | 34.907  | 28.6881 |
| 0.1937        | 12.73 | 104000 | 0.6172          | 2.4809 | 34.7468 | 28.7575 |
| 0.1947        | 12.79 | 104500 | 0.6171          | 2.5153 | 34.7974 | 28.838  |
| 0.1911        | 12.85 | 105000 | 0.6173          | 2.5098 | 34.4954 | 28.503  |
| 0.1964        | 12.91 | 105500 | 0.6154          | 2.6444 | 34.6928 | 29.0151 |
| 0.195         | 12.97 | 106000 | 0.6162          | 2.473  | 34.9597 | 28.835  |
| 0.1896        | 13.04 | 106500 | 0.6198          | 2.6084 | 34.7626 | 28.7998 |
| 0.1904        | 13.1  | 107000 | 0.6210          | 2.5528 | 34.8396 | 28.7817 |
| 0.1873        | 13.16 | 107500 | 0.6199          | 2.4733 | 34.5978 | 28.6247 |
| 0.1928        | 13.22 | 108000 | 0.6206          | 2.2296 | 34.7016 | 28.7425 |
| 0.1877        | 13.28 | 108500 | 0.6202          | 2.2818 | 34.6314 | 28.6288 |
| 0.1894        | 13.34 | 109000 | 0.6203          | 2.4791 | 34.5125 | 28.7787 |
| 0.1871        | 13.4  | 109500 | 0.6194          | 2.4788 | 34.6466 | 28.8753 |
| 0.1882        | 13.46 | 110000 | 0.6190          | 2.4903 | 34.6736 | 28.4708 |
| 0.1901        | 13.53 | 110500 | 0.6178          | 2.4224 | 34.7781 | 29.172  |
| 0.1856        | 13.59 | 111000 | 0.6226          | 2.7529 | 34.8907 | 28.9316 |
| 0.1899        | 13.65 | 111500 | 0.6190          | 2.7389 | 34.8182 | 28.7012 |
| 0.1906        | 13.71 | 112000 | 0.6183          | 2.66   | 34.7846 | 28.7887 |
| 0.1845        | 13.77 | 112500 | 0.6192          | 2.5404 | 34.8479 | 28.8793 |
| 0.1894        | 13.83 | 113000 | 0.6168          | 2.4759 | 35.0083 | 28.9819 |
| 0.1881        | 13.89 | 113500 | 0.6211          | 2.5217 | 34.8921 | 28.8813 |
| 0.1891        | 13.95 | 114000 | 0.6183          | 2.5463 | 34.8198 | 28.659  |
| 0.1866        | 14.01 | 114500 | 0.6211          | 2.6312 | 34.645  | 28.8763 |
| 0.1822        | 14.08 | 115000 | 0.6228          | 2.561  | 34.903  | 28.8934 |
| 0.1837        | 14.14 | 115500 | 0.6225          | 2.5487 | 34.7725 | 28.8913 |
| 0.1858        | 14.2  | 116000 | 0.6219          | 2.5928 | 34.7858 | 28.7666 |
| 0.1837        | 14.26 | 116500 | 0.6222          | 2.5209 | 34.5277 | 28.7726 |
| 0.186         | 14.32 | 117000 | 0.6216          | 2.5951 | 34.9747 | 29.1308 |
| 0.1853        | 14.38 | 117500 | 0.6215          | 2.4401 | 34.9479 | 29.329  |
| 0.1855        | 14.44 | 118000 | 0.6223          | 2.5228 | 34.6737 | 28.9809 |
| 0.1854        | 14.5  | 118500 | 0.6219          | 2.4152 | 34.7626 | 29.0231 |
| 0.1844        | 14.57 | 119000 | 0.6214          | 2.5697 | 34.4064 | 28.6871 |
| 0.1852        | 14.63 | 119500 | 0.6212          | 2.4173 | 34.9831 | 29.0362 |
| 0.1872        | 14.69 | 120000 | 0.6189          | 2.5666 | 35.0505 | 28.9487 |
| 0.1883        | 14.75 | 120500 | 0.6206          | 2.4874 | 35.0116 | 29.2596 |
| 0.1867        | 14.81 | 121000 | 0.6208          | 2.5295 | 35.0846 | 28.8843 |
| 0.188         | 14.87 | 121500 | 0.6212          | 2.4124 | 34.8342 | 28.9044 |
| 0.1827        | 14.93 | 122000 | 0.6223          | 2.4926 | 34.8856 | 29.2445 |
| 0.1845        | 14.99 | 122500 | 0.6207          | 2.5557 | 34.941  | 28.827  |
| 0.1822        | 15.06 | 123000 | 0.6220          | 2.5741 | 34.7359 | 28.5775 |
| 0.1824        | 15.12 | 123500 | 0.6251          | 2.5393 | 34.8589 | 28.8521 |
| 0.1803        | 15.18 | 124000 | 0.6252          | 2.509  | 35.0319 | 29.1368 |
| 0.1806        | 15.24 | 124500 | 0.6248          | 2.6374 | 34.7482 | 28.8581 |
| 0.1784        | 15.3  | 125000 | 0.6254          | 2.4306 | 34.5308 | 28.5282 |
| 0.1807        | 15.36 | 125500 | 0.6267          | 2.4254 | 34.6103 | 28.7928 |
| 0.1856        | 15.42 | 126000 | 0.6236          | 2.5149 | 34.464  | 28.4769 |
| 0.1826        | 15.48 | 126500 | 0.6248          | 2.5421 | 34.7899 | 28.7525 |
| 0.1835        | 15.54 | 127000 | 0.6247          | 2.5838 | 34.6669 | 28.9799 |
| 0.1815        | 15.61 | 127500 | 0.6253          | 2.6119 | 34.6821 | 28.9245 |
| 0.1846        | 15.67 | 128000 | 0.6242          | 2.599  | 34.7133 | 28.6227 |
| 0.1823        | 15.73 | 128500 | 0.6254          | 2.5391 | 34.7756 | 28.9205 |
| 0.1856        | 15.79 | 129000 | 0.6244          | 2.469  | 34.9484 | 29.0825 |
| 0.1814        | 15.85 | 129500 | 0.6235          | 2.5316 | 35.0045 | 29.001  |
| 0.1826        | 15.91 | 130000 | 0.6261          | 2.5732 | 34.606  | 28.5584 |
| 0.1795        | 15.97 | 130500 | 0.6245          | 2.5493 | 35.0103 | 29.0292 |
| 0.1815        | 16.03 | 131000 | 0.6271          | 2.6712 | 34.9971 | 28.7435 |
| 0.1783        | 16.1  | 131500 | 0.6279          | 2.5753 | 34.7197 | 28.8431 |
| 0.1797        | 16.16 | 132000 | 0.6265          | 2.4547 | 34.6509 | 28.7988 |
| 0.1799        | 16.22 | 132500 | 0.6267          | 2.6017 | 34.9454 | 28.6781 |
| 0.1787        | 16.28 | 133000 | 0.6284          | 2.5852 | 34.6931 | 28.5875 |
| 0.1789        | 16.34 | 133500 | 0.6270          | 2.5806 | 34.7731 | 28.998  |
| 0.1793        | 16.4  | 134000 | 0.6277          | 2.6962 | 34.6517 | 28.7948 |
| 0.1778        | 16.46 | 134500 | 0.6260          | 2.5917 | 34.6919 | 29.0604 |
| 0.1798        | 16.52 | 135000 | 0.6271          | 2.6003 | 34.7628 | 29.0332 |
| 0.1783        | 16.59 | 135500 | 0.6260          | 2.6648 | 34.781  | 28.7515 |
| 0.1776        | 16.65 | 136000 | 0.6267          | 2.644  | 34.8913 | 28.9427 |
| 0.1806        | 16.71 | 136500 | 0.6287          | 2.642  | 34.7232 | 28.671  |
| 0.1785        | 16.77 | 137000 | 0.6261          | 2.6244 | 34.862  | 28.9286 |
| 0.1802        | 16.83 | 137500 | 0.6285          | 2.6106 | 34.9525 | 28.8934 |
| 0.1802        | 16.89 | 138000 | 0.6266          | 2.4873 | 34.4422 | 28.7877 |
| 0.1808        | 16.95 | 138500 | 0.6281          | 2.5479 | 34.7034 | 29.1167 |
| 0.1811        | 17.01 | 139000 | 0.6271          | 2.5462 | 34.7687 | 28.9748 |
| 0.175         | 17.07 | 139500 | 0.6287          | 2.5574 | 34.8786 | 29.0684 |
| 0.1786        | 17.14 | 140000 | 0.6286          | 2.6459 | 34.9833 | 28.9034 |
| 0.1781        | 17.2  | 140500 | 0.6301          | 2.6564 | 34.8437 | 28.9034 |
| 0.1773        | 17.26 | 141000 | 0.6291          | 2.4694 | 35.0778 | 29.0966 |
| 0.1789        | 17.32 | 141500 | 0.6291          | 2.7069 | 34.7801 | 28.8531 |
| 0.1742        | 17.38 | 142000 | 0.6296          | 2.5806 | 35.0719 | 28.7696 |
| 0.1791        | 17.44 | 142500 | 0.6286          | 2.6497 | 34.8104 | 28.8119 |
| 0.1768        | 17.5  | 143000 | 0.6288          | 2.5836 | 34.9395 | 28.673  |
| 0.1765        | 17.56 | 143500 | 0.6295          | 2.6236 | 34.6219 | 28.7606 |
| 0.1785        | 17.63 | 144000 | 0.6281          | 2.6064 | 34.5671 | 28.6378 |
| 0.1785        | 17.69 | 144500 | 0.6291          | 2.6307 | 34.7851 | 28.7304 |
| 0.1746        | 17.75 | 145000 | 0.6291          | 2.6569 | 34.7762 | 28.9165 |
| 0.1762        | 17.81 | 145500 | 0.6296          | 2.5294 | 34.8672 | 29.0493 |
| 0.1779        | 17.87 | 146000 | 0.6289          | 2.5837 | 34.7269 | 28.7243 |
| 0.1772        | 17.93 | 146500 | 0.6295          | 2.5655 | 34.7131 | 28.8853 |
| 0.178         | 17.99 | 147000 | 0.6292          | 2.7107 | 34.8452 | 28.8924 |
| 0.1745        | 18.05 | 147500 | 0.6302          | 2.6626 | 34.8329 | 28.9024 |
| 0.1756        | 18.12 | 148000 | 0.6294          | 2.7256 | 34.6914 | 28.6791 |
| 0.1752        | 18.18 | 148500 | 0.6306          | 2.6617 | 34.8721 | 29.0382 |
| 0.1783        | 18.24 | 149000 | 0.6311          | 2.5843 | 34.6449 | 28.7062 |
| 0.1746        | 18.3  | 149500 | 0.6300          | 2.6503 | 34.6579 | 28.7948 |
| 0.1768        | 18.36 | 150000 | 0.6289          | 2.6644 | 34.8421 | 28.7596 |
| 0.1735        | 18.42 | 150500 | 0.6298          | 2.6592 | 34.8831 | 28.9266 |
| 0.1726        | 18.48 | 151000 | 0.6303          | 2.6662 | 34.7957 | 28.9205 |
| 0.1765        | 18.54 | 151500 | 0.6298          | 2.6464 | 34.867  | 28.8632 |
| 0.1737        | 18.6  | 152000 | 0.6296          | 2.572  | 34.9667 | 28.9296 |
| 0.1755        | 18.67 | 152500 | 0.6289          | 2.6626 | 34.8297 | 28.8783 |
| 0.1774        | 18.73 | 153000 | 0.6305          | 2.6593 | 34.8033 | 28.7445 |
| 0.1773        | 18.79 | 153500 | 0.6307          | 2.6628 | 34.8469 | 28.8793 |
| 0.1772        | 18.85 | 154000 | 0.6305          | 2.7617 | 34.8576 | 28.7686 |
| 0.1767        | 18.91 | 154500 | 0.6295          | 2.7162 | 34.8489 | 28.6781 |
| 0.1764        | 18.97 | 155000 | 0.6309          | 2.6794 | 34.9801 | 28.8119 |
| 0.1745        | 19.03 | 155500 | 0.6312          | 2.7008 | 34.942  | 28.8602 |
| 0.175         | 19.09 | 156000 | 0.6308          | 2.7038 | 35.1077 | 29.0624 |
| 0.1749        | 19.16 | 156500 | 0.6302          | 2.7338 | 34.8444 | 28.831  |
| 0.1719        | 19.22 | 157000 | 0.6307          | 2.7141 | 34.797  | 28.9668 |
| 0.1726        | 19.28 | 157500 | 0.6321          | 2.6579 | 34.8974 | 28.7193 |
| 0.1739        | 19.34 | 158000 | 0.6311          | 2.7274 | 34.9123 | 28.837  |
| 0.1736        | 19.4  | 158500 | 0.6310          | 2.622  | 34.9064 | 28.7163 |
| 0.174         | 19.46 | 159000 | 0.6318          | 2.7009 | 34.8667 | 28.7857 |
| 0.1748        | 19.52 | 159500 | 0.6315          | 2.7481 | 34.92   | 28.7767 |
| 0.1765        | 19.58 | 160000 | 0.6316          | 2.7351 | 34.941  | 28.7686 |
| 0.1733        | 19.65 | 160500 | 0.6314          | 2.7531 | 34.9317 | 28.7545 |
| 0.175         | 19.71 | 161000 | 0.6316          | 2.7314 | 34.9079 | 28.8521 |
| 0.175         | 19.77 | 161500 | 0.6307          | 2.7682 | 34.8455 | 28.7213 |
| 0.1748        | 19.83 | 162000 | 0.6311          | 2.7593 | 34.902  | 28.7767 |
| 0.174         | 19.89 | 162500 | 0.6311          | 2.7523 | 34.9226 | 28.8008 |
| 0.1758        | 19.95 | 163000 | 0.6309          | 2.751  | 34.8573 | 28.8089 |


### 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"], "model-index": [{"name": "es_en_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\_en\_orig\_quy
=================


This model is a fine-tuned version of Helsinki-NLP/opus-mt-es-en on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.6309
* Bleu: 2.751
* Chrf: 34.8573
* Gen Len: 28.8089


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