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# long-t5-local-base-finetuned

This model is a fine-tuned version of [google/long-t5-local-base](https://huggingface.co/google/long-t5-local-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 9.2722
- Rouge1: 3.8848
- Rouge2: 0.5914
- Rougel: 3.5038
- Rougelsum: 3.7022
- 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: 1e-06
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50000

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 0.16  | 100   | 342.4395        | 0.0    | 0.0    | 0.0    | 0.0       | 19.0    |
| No log        | 0.31  | 200   | 323.6985        | 0.0    | 0.0    | 0.0    | 0.0       | 19.0    |
| No log        | 0.47  | 300   | 303.8767        | 0.0    | 0.0    | 0.0    | 0.0       | 19.0    |
| No log        | 0.62  | 400   | 284.7559        | 0.0    | 0.0    | 0.0    | 0.0       | 19.0    |
| 295.8376      | 0.78  | 500   | 263.0420        | 0.0    | 0.0    | 0.0    | 0.0       | 19.0    |
| 295.8376      | 0.93  | 600   | 243.2220        | 0.0242 | 0.0    | 0.0223 | 0.0242    | 19.0    |
| 295.8376      | 1.09  | 700   | 224.4514        | 0.0493 | 0.0    | 0.0507 | 0.0513    | 19.0    |
| 295.8376      | 1.24  | 800   | 203.9065        | 0.0656 | 0.0    | 0.0634 | 0.0658    | 19.0    |
| 295.8376      | 1.4   | 900   | 184.8686        | 0.0609 | 0.0    | 0.058  | 0.0616    | 19.0    |
| 199.938       | 1.55  | 1000  | 167.5315        | 0.0638 | 0.0    | 0.0626 | 0.063     | 19.0    |
| 199.938       | 1.71  | 1100  | 151.2369        | 0.0421 | 0.0    | 0.0411 | 0.0413    | 19.0    |
| 199.938       | 1.86  | 1200  | 137.2366        | 0.0358 | 0.0    | 0.0346 | 0.0342    | 19.0    |
| 199.938       | 2.02  | 1300  | 125.3076        | 0.0173 | 0.0    | 0.0157 | 0.0157    | 19.0    |
| 199.938       | 2.17  | 1400  | 114.5600        | 0.0173 | 0.0    | 0.0157 | 0.0157    | 19.0    |
| 136.1309      | 2.33  | 1500  | 105.9237        | 0.0361 | 0.0    | 0.0344 | 0.0363    | 19.0    |
| 136.1309      | 2.48  | 1600  | 97.4123         | 0.0526 | 0.0    | 0.051  | 0.054     | 19.0    |
| 136.1309      | 2.64  | 1700  | 89.0873         | 0.0427 | 0.0    | 0.0407 | 0.0418    | 19.0    |
| 136.1309      | 2.79  | 1800  | 82.0562         | 0.0496 | 0.0    | 0.0462 | 0.0462    | 19.0    |
| 136.1309      | 2.95  | 1900  | 76.2360         | 0.0361 | 0.0    | 0.0345 | 0.0363    | 19.0    |
| 99.2229       | 3.1   | 2000  | 70.0604         | 0.0438 | 0.0    | 0.0425 | 0.0439    | 19.0    |
| 99.2229       | 3.26  | 2100  | 65.1038         | 0.0454 | 0.0    | 0.0441 | 0.0447    | 19.0    |
| 99.2229       | 3.41  | 2200  | 59.1831         | 0.0344 | 0.0    | 0.0318 | 0.0318    | 19.0    |
| 99.2229       | 3.57  | 2300  | 53.0313         | 0.0471 | 0.0    | 0.0448 | 0.0454    | 19.0    |
| 99.2229       | 3.72  | 2400  | 48.2110         | 0.0369 | 0.0    | 0.0369 | 0.0369    | 19.0    |
| 73.4208       | 3.88  | 2500  | 44.2004         | 0.0425 | 0.0    | 0.0427 | 0.044     | 19.0    |
| 73.4208       | 4.03  | 2600  | 40.1925         | 0.0632 | 0.0    | 0.0619 | 0.0612    | 19.0    |
| 73.4208       | 4.19  | 2700  | 36.3698         | 0.0887 | 0.0    | 0.0873 | 0.086     | 19.0    |
| 73.4208       | 4.34  | 2800  | 33.2154         | 0.164  | 0.0    | 0.1652 | 0.1705    | 19.0    |
| 73.4208       | 4.5   | 2900  | 30.9366         | 0.1106 | 0.0    | 0.1138 | 0.1144    | 19.0    |
| 55.6661       | 4.65  | 3000  | 28.5672         | 0.1289 | 0.0    | 0.1295 | 0.131     | 19.0    |
| 55.6661       | 4.81  | 3100  | 27.0910         | 0.2501 | 0.0    | 0.2514 | 0.2527    | 19.0    |
| 55.6661       | 4.96  | 3200  | 25.6666         | 0.318  | 0.0    | 0.3322 | 0.3203    | 19.0    |
| 55.6661       | 5.12  | 3300  | 24.6176         | 0.6319 | 0.0    | 0.6419 | 0.6299    | 19.0    |
| 55.6661       | 5.27  | 3400  | 23.6474         | 1.6632 | 0.0033 | 1.665  | 1.6244    | 19.0    |
| 45.1105       | 5.43  | 3500  | 22.7063         | 3.1374 | 0.0    | 3.1331 | 3.1333    | 19.0    |
| 45.1105       | 5.58  | 3600  | 21.9191         | 5.0757 | 0.0    | 5.0694 | 5.0456    | 19.0    |
| 45.1105       | 5.74  | 3700  | 21.3359         | 5.6576 | 0.0    | 5.689  | 5.6772    | 19.0    |
| 45.1105       | 5.89  | 3800  | 20.6990         | 5.828  | 0.0    | 5.8801 | 5.8688    | 19.0    |
| 45.1105       | 6.05  | 3900  | 20.1800         | 6.3727 | 0.0    | 6.3801 | 6.3716    | 19.0    |
| 39.6923       | 6.2   | 4000  | 19.7415         | 6.2209 | 0.0    | 6.2347 | 6.2368    | 19.0    |
| 39.6923       | 6.36  | 4100  | 19.2800         | 5.7215 | 0.0    | 5.7452 | 5.7295    | 19.0    |
| 39.6923       | 6.51  | 4200  | 18.9683         | 6.1018 | 0.0062 | 6.1    | 6.0935    | 19.0    |
| 39.6923       | 6.67  | 4300  | 18.5776         | 6.0354 | 0.0062 | 6.0227 | 6.0103    | 19.0    |
| 39.6923       | 6.82  | 4400  | 18.2629         | 5.4438 | 0.0062 | 5.441  | 5.4629    | 19.0    |
| 36.1688       | 6.98  | 4500  | 18.0268         | 5.3214 | 0.0091 | 5.3093 | 5.2992    | 19.0    |
| 36.1688       | 7.13  | 4600  | 17.7740         | 5.2223 | 0.0123 | 5.2132 | 5.2084    | 19.0    |
| 36.1688       | 7.29  | 4700  | 17.5345         | 5.178  | 0.0231 | 5.1615 | 5.1243    | 19.0    |
| 36.1688       | 7.44  | 4800  | 17.3846         | 5.3899 | 0.0277 | 5.3414 | 5.3534    | 19.0    |
| 36.1688       | 7.6   | 4900  | 17.1999         | 5.315  | 0.0272 | 5.2572 | 5.2477    | 19.0    |
| 33.5745       | 7.75  | 5000  | 17.0078         | 5.9014 | 0.028  | 5.8181 | 5.8058    | 19.0    |
| 33.5745       | 7.91  | 5100  | 16.6418         | 5.7546 | 0.0242 | 5.6903 | 5.6746    | 19.0    |
| 33.5745       | 8.06  | 5200  | 16.6330         | 6.6893 | 0.0182 | 6.6354 | 6.6178    | 19.0    |
| 33.5745       | 8.22  | 5300  | 16.3423         | 6.1679 | 0.0072 | 6.1518 | 6.128     | 19.0    |
| 33.5745       | 8.37  | 5400  | 16.2373         | 6.7659 | 0.0139 | 6.7271 | 6.7076    | 19.0    |
| 31.9486       | 8.53  | 5500  | 16.1523         | 7.1991 | 0.0139 | 7.1674 | 7.1283    | 19.0    |
| 31.9486       | 8.68  | 5600  | 16.0607         | 7.7042 | 0.0169 | 7.6741 | 7.6537    | 19.0    |
| 31.9486       | 8.84  | 5700  | 15.7647         | 7.1238 | 0.02   | 7.1113 | 7.0586    | 19.0    |
| 31.9486       | 8.99  | 5800  | 15.6194         | 7.3055 | 0.0116 | 7.3311 | 7.2683    | 19.0    |
| 31.9486       | 9.15  | 5900  | 15.4994         | 7.3365 | 0.0139 | 7.3026 | 7.2708    | 19.0    |
| 30.5224       | 9.3   | 6000  | 15.4207         | 8.1959 | 0.0116 | 8.1917 | 8.1651    | 19.0    |
| 30.5224       | 9.46  | 6100  | 15.2981         | 7.7936 | 0.0144 | 7.7826 | 7.7488    | 19.0    |
| 30.5224       | 9.61  | 6200  | 15.2391         | 7.95   | 0.0144 | 7.9371 | 7.895     | 19.0    |
| 30.5224       | 9.77  | 6300  | 15.0941         | 7.1669 | 0.0144 | 7.146  | 7.1251    | 19.0    |
| 30.5224       | 9.92  | 6400  | 14.9979         | 6.2157 | 0.0076 | 6.2086 | 6.1774    | 19.0    |
| 29.1236       | 10.08 | 6500  | 14.9523         | 7.4422 | 0.0137 | 7.3929 | 7.393     | 19.0    |
| 29.1236       | 10.23 | 6600  | 14.9515         | 7.2375 | 0.0137 | 7.1728 | 7.1779    | 19.0    |
| 29.1236       | 10.39 | 6700  | 14.8874         | 7.5071 | 0.0068 | 7.4544 | 7.4739    | 19.0    |
| 29.1236       | 10.54 | 6800  | 14.8057         | 5.9608 | 0.0169 | 5.8754 | 5.8691    | 19.0    |
| 29.1236       | 10.7  | 6900  | 14.6818         | 5.6345 | 0.021  | 5.5422 | 5.5331    | 19.0    |
| 28.314        | 10.85 | 7000  | 14.5409         | 5.5799 | 0.0169 | 5.4915 | 5.4833    | 19.0    |
| 28.314        | 11.01 | 7100  | 14.4512         | 4.3498 | 0.0368 | 4.2243 | 4.2193    | 19.0    |
| 28.314        | 11.16 | 7200  | 14.4560         | 4.0453 | 0.0372 | 3.9481 | 3.9228    | 19.0    |
| 28.314        | 11.32 | 7300  | 14.3851         | 5.1332 | 0.0426 | 5.0186 | 4.9882    | 19.0    |
| 28.314        | 11.47 | 7400  | 14.2265         | 4.8944 | 0.0371 | 4.7869 | 4.7765    | 19.0    |
| 27.5349       | 11.63 | 7500  | 14.1214         | 3.8846 | 0.0335 | 3.7882 | 3.7677    | 19.0    |
| 27.5349       | 11.78 | 7600  | 14.1505         | 3.9992 | 0.0514 | 3.883  | 3.8385    | 19.0    |
| 27.5349       | 11.94 | 7700  | 13.9923         | 3.4526 | 0.0664 | 3.325  | 3.3258    | 19.0    |
| 27.5349       | 12.09 | 7800  | 14.0299         | 2.3086 | 0.0346 | 2.25   | 2.219     | 19.0    |
| 27.5349       | 12.25 | 7900  | 13.9814         | 2.4402 | 0.0628 | 2.3282 | 2.3004    | 19.0    |
| 26.4286       | 12.4  | 8000  | 13.8561         | 2.9869 | 0.0654 | 2.8769 | 2.8485    | 19.0    |
| 26.4286       | 12.56 | 8100  | 13.8259         | 1.9609 | 0.0386 | 1.8863 | 1.8846    | 19.0    |
| 26.4286       | 12.71 | 8200  | 13.8127         | 2.0628 | 0.0355 | 1.9915 | 1.9738    | 19.0    |
| 26.4286       | 12.87 | 8300  | 13.7174         | 1.9904 | 0.081  | 1.888  | 1.9069    | 19.0    |
| 26.4286       | 13.02 | 8400  | 13.6308         | 2.1398 | 0.1055 | 2.0204 | 2.0468    | 19.0    |
| 26.108        | 13.18 | 8500  | 13.6490         | 1.8934 | 0.0788 | 1.7942 | 1.8188    | 19.0    |
| 26.108        | 13.33 | 8600  | 13.5996         | 1.8746 | 0.0901 | 1.7441 | 1.8006    | 19.0    |
| 26.108        | 13.49 | 8700  | 13.5394         | 1.7846 | 0.0895 | 1.6648 | 1.7331    | 19.0    |
| 26.108        | 13.64 | 8800  | 13.5368         | 2.1345 | 0.1287 | 1.9808 | 2.0814    | 19.0    |
| 26.108        | 13.8  | 8900  | 13.4793         | 2.5234 | 0.1611 | 2.3289 | 2.4292    | 19.0    |
| 25.4931       | 13.95 | 9000  | 13.3633         | 2.8056 | 0.1953 | 2.5619 | 2.7088    | 19.0    |
| 25.4931       | 14.11 | 9100  | 13.5182         | 3.087  | 0.2192 | 2.8182 | 2.9928    | 19.0    |
| 25.4931       | 14.26 | 9200  | 13.3372         | 2.6353 | 0.175  | 2.4145 | 2.589     | 19.0    |
| 25.4931       | 14.42 | 9300  | 13.2822         | 2.7577 | 0.1905 | 2.5277 | 2.7215    | 19.0    |
| 25.4931       | 14.57 | 9400  | 13.2011         | 3.1891 | 0.2381 | 2.9276 | 3.142     | 19.0    |
| 24.9241       | 14.73 | 9500  | 13.2201         | 2.609  | 0.1683 | 2.4162 | 2.5905    | 19.0    |
| 24.9241       | 14.88 | 9600  | 13.2206         | 3.1083 | 0.2241 | 2.8627 | 3.0606    | 19.0    |
| 24.9241       | 15.04 | 9700  | 13.2157         | 3.6233 | 0.2731 | 3.338  | 3.5642    | 19.0    |
| 24.9241       | 15.19 | 9800  | 13.1195         | 3.1785 | 0.2318 | 2.9449 | 3.1306    | 19.0    |
| 24.9241       | 15.35 | 9900  | 13.0481         | 3.0249 | 0.2192 | 2.7991 | 2.9925    | 19.0    |
| 24.4511       | 15.5  | 10000 | 13.0693         | 3.1189 | 0.2287 | 2.8726 | 3.0669    | 19.0    |
| 24.4511       | 15.66 | 10100 | 12.9204         | 2.6405 | 0.1899 | 2.4337 | 2.61      | 19.0    |
| 24.4511       | 15.81 | 10200 | 12.9200         | 2.9037 | 0.2148 | 2.6775 | 2.8683    | 19.0    |
| 24.4511       | 15.97 | 10300 | 12.9203         | 2.8847 | 0.2034 | 2.6586 | 2.8438    | 19.0    |
| 24.4511       | 16.12 | 10400 | 12.8723         | 2.8195 | 0.1976 | 2.5922 | 2.7803    | 19.0    |
| 23.8949       | 16.28 | 10500 | 12.9749         | 3.2658 | 0.2217 | 2.9905 | 3.2262    | 19.0    |
| 23.8949       | 16.43 | 10600 | 12.7975         | 2.9762 | 0.1844 | 2.7295 | 2.9474    | 19.0    |
| 23.8949       | 16.59 | 10700 | 12.7497         | 2.5496 | 0.1406 | 2.3536 | 2.5269    | 19.0    |
| 23.8949       | 16.74 | 10800 | 12.6485         | 2.5509 | 0.1454 | 2.343  | 2.5182    | 19.0    |
| 23.8949       | 16.9  | 10900 | 12.6574         | 2.1914 | 0.1281 | 2.0113 | 2.1574    | 19.0    |
| 23.4963       | 17.05 | 11000 | 12.6919         | 2.1748 | 0.1299 | 1.9909 | 2.1229    | 19.0    |
| 23.4963       | 17.21 | 11100 | 12.5660         | 2.3751 | 0.1177 | 2.1417 | 2.326     | 19.0    |
| 23.4963       | 17.36 | 11200 | 12.5866         | 2.6893 | 0.1344 | 2.4378 | 2.6318    | 19.0    |
| 23.4963       | 17.52 | 11300 | 12.5427         | 2.5546 | 0.1411 | 2.3175 | 2.5073    | 19.0    |
| 23.4963       | 17.67 | 11400 | 12.5011         | 2.347  | 0.1223 | 2.1322 | 2.3077    | 19.0    |
| 23.1492       | 17.83 | 11500 | 12.5168         | 2.2304 | 0.1141 | 2.0657 | 2.1951    | 19.0    |
| 23.1492       | 17.98 | 11600 | 12.4043         | 2.4485 | 0.1209 | 2.2548 | 2.4114    | 19.0    |
| 23.1492       | 18.14 | 11700 | 12.4192         | 2.0551 | 0.0887 | 1.8996 | 2.0199    | 19.0    |
| 23.1492       | 18.29 | 11800 | 12.3799         | 2.1076 | 0.0932 | 1.9464 | 2.0589    | 19.0    |
| 23.1492       | 18.45 | 11900 | 12.4263         | 2.4136 | 0.1152 | 2.2172 | 2.357     | 19.0    |
| 22.7005       | 18.6  | 12000 | 12.3218         | 2.1197 | 0.1105 | 1.9997 | 2.0873    | 19.0    |
| 22.7005       | 18.76 | 12100 | 12.3297         | 2.1883 | 0.1102 | 2.0414 | 2.1267    | 19.0    |
| 22.7005       | 18.91 | 12200 | 12.3026         | 1.966  | 0.0954 | 1.8387 | 1.9469    | 19.0    |
| 22.7005       | 19.07 | 12300 | 12.3030         | 2.0179 | 0.0955 | 1.8834 | 1.9858    | 19.0    |
| 22.7005       | 19.22 | 12400 | 12.2478         | 1.9549 | 0.0948 | 1.8437 | 1.9092    | 19.0    |
| 22.3178       | 19.38 | 12500 | 12.1803         | 1.6396 | 0.0648 | 1.5296 | 1.6208    | 19.0    |
| 22.3178       | 19.53 | 12600 | 12.1732         | 1.5568 | 0.0769 | 1.4894 | 1.5387    | 19.0    |
| 22.3178       | 19.69 | 12700 | 12.1342         | 1.6861 | 0.0782 | 1.6105 | 1.666     | 19.0    |
| 22.3178       | 19.84 | 12800 | 12.1313         | 2.023  | 0.0965 | 1.9295 | 2.0072    | 19.0    |
| 22.3178       | 20.0  | 12900 | 12.1315         | 1.5878 | 0.0701 | 1.5153 | 1.5467    | 19.0    |
| 21.8344       | 20.16 | 13000 | 12.0611         | 1.6406 | 0.0637 | 1.5665 | 1.6033    | 19.0    |
| 21.8344       | 20.31 | 13100 | 12.0327         | 1.5913 | 0.0544 | 1.5209 | 1.552     | 19.0    |
| 21.8344       | 20.47 | 13200 | 12.0466         | 1.3618 | 0.0494 | 1.3186 | 1.33      | 19.0    |
| 21.8344       | 20.62 | 13300 | 12.0787         | 1.4445 | 0.0451 | 1.4073 | 1.41      | 19.0    |
| 21.8344       | 20.78 | 13400 | 11.9829         | 1.3465 | 0.0494 | 1.3247 | 1.3167    | 19.0    |
| 21.6309       | 20.93 | 13500 | 11.9072         | 1.4165 | 0.0519 | 1.3761 | 1.3839    | 19.0    |
| 21.6309       | 21.09 | 13600 | 11.9261         | 1.3969 | 0.0502 | 1.3606 | 1.3618    | 19.0    |
| 21.6309       | 21.24 | 13700 | 11.8313         | 1.3337 | 0.0337 | 1.2974 | 1.316     | 19.0    |
| 21.6309       | 21.4  | 13800 | 11.7709         | 1.3045 | 0.0371 | 1.2746 | 1.2889    | 19.0    |
| 21.6309       | 21.55 | 13900 | 11.8402         | 1.6106 | 0.0391 | 1.5678 | 1.5697    | 19.0    |
| 21.2262       | 21.71 | 14000 | 11.7132         | 1.3261 | 0.0222 | 1.296  | 1.3051    | 19.0    |
| 21.2262       | 21.86 | 14100 | 11.7206         | 1.41   | 0.0252 | 1.374  | 1.3985    | 19.0    |
| 21.2262       | 22.02 | 14200 | 11.7033         | 1.6231 | 0.0478 | 1.5632 | 1.5851    | 19.0    |
| 21.2262       | 22.17 | 14300 | 11.7385         | 1.8974 | 0.0618 | 1.8339 | 1.8583    | 19.0    |
| 21.2262       | 22.33 | 14400 | 11.6519         | 1.8998 | 0.0541 | 1.8285 | 1.8552    | 19.0    |
| 20.8055       | 22.48 | 14500 | 11.6039         | 1.9561 | 0.0582 | 1.859  | 1.9073    | 19.0    |
| 20.8055       | 22.64 | 14600 | 11.6322         | 1.7731 | 0.0442 | 1.7061 | 1.7303    | 19.0    |
| 20.8055       | 22.79 | 14700 | 11.6046         | 1.8874 | 0.0618 | 1.8083 | 1.8539    | 19.0    |
| 20.8055       | 22.95 | 14800 | 11.5051         | 1.4271 | 0.016  | 1.3996 | 1.4086    | 19.0    |
| 20.8055       | 23.1  | 14900 | 11.5564         | 1.743  | 0.0451 | 1.6787 | 1.727     | 19.0    |
| 20.6263       | 23.26 | 15000 | 11.5024         | 1.9313 | 0.0575 | 1.8357 | 1.887     | 19.0    |
| 20.6263       | 23.41 | 15100 | 11.5281         | 2.082  | 0.0435 | 1.9865 | 2.0327    | 19.0    |
| 20.6263       | 23.57 | 15200 | 11.4223         | 1.9773 | 0.0332 | 1.9038 | 1.9432    | 19.0    |
| 20.6263       | 23.72 | 15300 | 11.4675         | 1.7845 | 0.0831 | 1.6835 | 1.7414    | 19.0    |
| 20.6263       | 23.88 | 15400 | 11.3882         | 2.1183 | 0.0715 | 1.9965 | 2.0725    | 19.0    |
| 20.3154       | 24.03 | 15500 | 11.4197         | 2.4045 | 0.1336 | 2.2302 | 2.3024    | 19.0    |
| 20.3154       | 24.19 | 15600 | 11.3558         | 1.9596 | 0.1196 | 1.8152 | 1.8748    | 19.0    |
| 20.3154       | 24.34 | 15700 | 11.3438         | 2.0931 | 0.111  | 1.9469 | 1.999     | 19.0    |
| 20.3154       | 24.5  | 15800 | 11.3021         | 2.2159 | 0.1257 | 2.0511 | 2.1345    | 19.0    |
| 20.3154       | 24.65 | 15900 | 11.3178         | 2.093  | 0.132  | 1.9083 | 1.9969    | 19.0    |
| 20.0858       | 24.81 | 16000 | 11.2377         | 1.6589 | 0.1129 | 1.5625 | 1.6245    | 19.0    |
| 20.0858       | 24.96 | 16100 | 11.2058         | 1.6667 | 0.0854 | 1.5597 | 1.6223    | 19.0    |
| 20.0858       | 25.12 | 16200 | 11.1602         | 2.0907 | 0.1219 | 1.9297 | 1.9988    | 19.0    |
| 20.0858       | 25.27 | 16300 | 11.1666         | 1.86   | 0.1092 | 1.7398 | 1.7993    | 19.0    |
| 20.0858       | 25.43 | 16400 | 11.1807         | 1.8879 | 0.1818 | 1.7579 | 1.8335    | 19.0    |
| 19.7588       | 25.58 | 16500 | 11.1310         | 2.0377 | 0.1612 | 1.8653 | 1.9538    | 19.0    |
| 19.7588       | 25.74 | 16600 | 11.1577         | 2.1441 | 0.1767 | 1.9546 | 2.0518    | 19.0    |
| 19.7588       | 25.89 | 16700 | 11.0748         | 1.8679 | 0.1892 | 1.7249 | 1.7822    | 19.0    |
| 19.7588       | 26.05 | 16800 | 11.1048         | 2.2775 | 0.2072 | 2.0566 | 2.1521    | 19.0    |
| 19.7588       | 26.2  | 16900 | 11.0498         | 1.8117 | 0.161  | 1.6879 | 1.7357    | 19.0    |
| 19.4627       | 26.36 | 17000 | 11.0435         | 1.7875 | 0.1627 | 1.6626 | 1.7306    | 19.0    |
| 19.4627       | 26.51 | 17100 | 10.9406         | 1.7333 | 0.1645 | 1.6051 | 1.6671    | 19.0    |
| 19.4627       | 26.67 | 17200 | 10.9242         | 1.596  | 0.1426 | 1.4747 | 1.5341    | 19.0    |
| 19.4627       | 26.82 | 17300 | 10.9571         | 1.9874 | 0.2109 | 1.8109 | 1.9061    | 19.0    |
| 19.4627       | 26.98 | 17400 | 10.9265         | 1.6999 | 0.1353 | 1.5574 | 1.6402    | 19.0    |
| 19.2619       | 27.13 | 17500 | 10.8919         | 1.7543 | 0.1709 | 1.587  | 1.6605    | 19.0    |
| 19.2619       | 27.29 | 17600 | 10.8382         | 2.126  | 0.2056 | 1.8609 | 2.0021    | 19.0    |
| 19.2619       | 27.44 | 17700 | 10.8936         | 1.9626 | 0.1726 | 1.7402 | 1.8665    | 19.0    |
| 19.2619       | 27.6  | 17800 | 10.8565         | 1.7668 | 0.1673 | 1.5914 | 1.7099    | 19.0    |
| 19.2619       | 27.75 | 17900 | 10.9047         | 2.0972 | 0.1867 | 1.8519 | 2.0224    | 19.0    |
| 19.0457       | 27.91 | 18000 | 10.7900         | 2.7761 | 0.2904 | 2.4403 | 2.6936    | 19.0    |
| 19.0457       | 28.06 | 18100 | 10.7191         | 2.3652 | 0.2431 | 2.0989 | 2.2767    | 19.0    |
| 19.0457       | 28.22 | 18200 | 10.7462         | 3.3125 | 0.361  | 2.847  | 3.1506    | 19.0    |
| 19.0457       | 28.37 | 18300 | 10.7721         | 2.9247 | 0.3    | 2.5443 | 2.806     | 19.0    |
| 19.0457       | 28.53 | 18400 | 10.7208         | 2.5398 | 0.2812 | 2.2211 | 2.4312    | 19.0    |
| 18.8301       | 28.68 | 18500 | 10.6708         | 2.5902 | 0.281  | 2.2765 | 2.4881    | 19.0    |
| 18.8301       | 28.84 | 18600 | 10.7220         | 2.276  | 0.2061 | 1.9904 | 2.1922    | 19.0    |
| 18.8301       | 28.99 | 18700 | 10.6855         | 2.8678 | 0.3496 | 2.52   | 2.751     | 19.0    |
| 18.8301       | 29.15 | 18800 | 10.6550         | 2.5232 | 0.2724 | 2.2108 | 2.4314    | 19.0    |
| 18.8301       | 29.3  | 18900 | 10.6488         | 2.5629 | 0.2203 | 2.2361 | 2.4261    | 19.0    |
| 18.5872       | 29.46 | 19000 | 10.6123         | 2.5052 | 0.1923 | 2.1381 | 2.3821    | 19.0    |
| 18.5872       | 29.61 | 19100 | 10.6105         | 3.7779 | 0.3653 | 3.2404 | 3.5759    | 19.0    |
| 18.5872       | 29.77 | 19200 | 10.5823         | 3.8282 | 0.3743 | 3.2645 | 3.6077    | 19.0    |
| 18.5872       | 29.92 | 19300 | 10.5606         | 3.0976 | 0.277  | 2.6041 | 2.8838    | 19.0    |
| 18.5872       | 30.08 | 19400 | 10.5846         | 3.638  | 0.3482 | 3.0804 | 3.4294    | 19.0    |
| 18.2839       | 30.23 | 19500 | 10.4722         | 2.6173 | 0.2326 | 2.2268 | 2.4656    | 19.0    |
| 18.2839       | 30.39 | 19600 | 10.5211         | 3.5085 | 0.3377 | 2.9751 | 3.2889    | 19.0    |
| 18.2839       | 30.54 | 19700 | 10.4735         | 2.4781 | 0.2097 | 2.1099 | 2.3338    | 19.0    |
| 18.2839       | 30.7  | 19800 | 10.4545         | 3.1459 | 0.3022 | 2.6844 | 2.9559    | 19.0    |
| 18.2839       | 30.85 | 19900 | 10.4525         | 3.6095 | 0.3637 | 3.0873 | 3.3886    | 19.0    |
| 18.1352       | 31.01 | 20000 | 10.4409         | 4.0556 | 0.4621 | 3.3857 | 3.7778    | 19.0    |
| 18.1352       | 31.16 | 20100 | 10.4132         | 3.8346 | 0.3863 | 3.2323 | 3.6266    | 19.0    |
| 18.1352       | 31.32 | 20200 | 10.4468         | 2.3736 | 0.1977 | 2.0195 | 2.236     | 19.0    |
| 18.1352       | 31.47 | 20300 | 10.3896         | 3.6954 | 0.3512 | 3.1402 | 3.4667    | 19.0    |
| 18.1352       | 31.63 | 20400 | 10.3546         | 3.5158 | 0.3558 | 3.0575 | 3.3116    | 19.0    |
| 17.9834       | 31.78 | 20500 | 10.3632         | 3.179  | 0.3374 | 2.7634 | 2.9846    | 19.0    |
| 17.9834       | 31.94 | 20600 | 10.3168         | 3.9121 | 0.4012 | 3.3812 | 3.687     | 19.0    |
| 17.9834       | 32.09 | 20700 | 10.2772         | 3.6148 | 0.3667 | 3.1059 | 3.3541    | 19.0    |
| 17.9834       | 32.25 | 20800 | 10.3173         | 3.1448 | 0.2924 | 2.6948 | 2.9338    | 19.0    |
| 17.9834       | 32.4  | 20900 | 10.2154         | 2.4611 | 0.1922 | 2.1597 | 2.3288    | 19.0    |
| 17.6192       | 32.56 | 21000 | 10.2957         | 3.3177 | 0.3762 | 2.8085 | 3.0595    | 19.0    |
| 17.6192       | 32.71 | 21100 | 10.2064         | 3.4663 | 0.3819 | 3.0229 | 3.2201    | 19.0    |
| 17.6192       | 32.87 | 21200 | 10.2235         | 3.245  | 0.3179 | 2.7618 | 3.0066    | 19.0    |
| 17.6192       | 33.02 | 21300 | 10.2193         | 2.5572 | 0.2775 | 2.216  | 2.3892    | 19.0    |
| 17.6192       | 33.18 | 21400 | 10.2467         | 3.4873 | 0.3934 | 3.02   | 3.2701    | 19.0    |
| 17.5532       | 33.33 | 21500 | 10.2378         | 2.8087 | 0.3049 | 2.4001 | 2.6218    | 19.0    |
| 17.5532       | 33.49 | 21600 | 10.2086         | 3.8967 | 0.4801 | 3.3678 | 3.603     | 19.0    |
| 17.5532       | 33.64 | 21700 | 10.2384         | 2.6534 | 0.3239 | 2.3276 | 2.4692    | 19.0    |
| 17.5532       | 33.8  | 21800 | 10.1929         | 2.6025 | 0.2845 | 2.2653 | 2.4507    | 19.0    |
| 17.5532       | 33.95 | 21900 | 10.1016         | 3.3244 | 0.377  | 2.8311 | 3.0784    | 19.0    |
| 17.3872       | 34.11 | 22000 | 10.1407         | 3.4245 | 0.4024 | 3.044  | 3.1865    | 19.0    |
| 17.3872       | 34.26 | 22100 | 10.0760         | 3.9251 | 0.4272 | 3.4064 | 3.6497    | 19.0    |
| 17.3872       | 34.42 | 22200 | 10.0998         | 3.3034 | 0.3438 | 2.8977 | 3.1141    | 19.0    |
| 17.3872       | 34.57 | 22300 | 10.0834         | 2.4967 | 0.266  | 2.2301 | 2.3647    | 19.0    |
| 17.3872       | 34.73 | 22400 | 9.9902          | 4.0828 | 0.4867 | 3.5482 | 3.7861    | 19.0    |
| 17.1744       | 34.88 | 22500 | 10.0366         | 3.5772 | 0.4377 | 3.1153 | 3.3199    | 19.0    |
| 17.1744       | 35.04 | 22600 | 10.0299         | 3.5342 | 0.433  | 3.0501 | 3.2176    | 19.0    |
| 17.1744       | 35.19 | 22700 | 9.9912          | 3.7754 | 0.4445 | 3.3191 | 3.502     | 19.0    |
| 17.1744       | 35.35 | 22800 | 9.9580          | 4.5086 | 0.5514 | 3.8986 | 4.1987    | 19.0    |
| 17.1744       | 35.5  | 22900 | 9.9676          | 3.526  | 0.3942 | 3.0859 | 3.3082    | 19.0    |
| 17.0687       | 35.66 | 23000 | 9.9874          | 3.7058 | 0.5139 | 3.2353 | 3.4611    | 19.0    |
| 17.0687       | 35.81 | 23100 | 9.9536          | 3.6588 | 0.4552 | 3.1591 | 3.3554    | 19.0    |
| 17.0687       | 35.97 | 23200 | 9.8948          | 3.6279 | 0.3933 | 3.1403 | 3.3426    | 19.0    |
| 17.0687       | 36.12 | 23300 | 9.8397          | 3.8101 | 0.4971 | 3.3152 | 3.5133    | 19.0    |
| 17.0687       | 36.28 | 23400 | 9.8995          | 3.3201 | 0.4209 | 2.9101 | 3.0903    | 19.0    |
| 16.7686       | 36.43 | 23500 | 9.9085          | 4.0108 | 0.6389 | 3.5055 | 3.7286    | 19.0    |
| 16.7686       | 36.59 | 23600 | 9.8688          | 3.6051 | 0.5164 | 3.1651 | 3.3781    | 19.0    |
| 16.7686       | 36.74 | 23700 | 9.8673          | 4.4987 | 0.6051 | 3.8789 | 4.1868    | 19.0    |
| 16.7686       | 36.9  | 23800 | 9.8848          | 3.6926 | 0.5635 | 3.1681 | 3.3902    | 19.0    |
| 16.7686       | 37.05 | 23900 | 9.8497          | 3.518  | 0.4283 | 3.1159 | 3.3112    | 19.0    |
| 16.7432       | 37.21 | 24000 | 9.8044          | 3.3369 | 0.3772 | 2.9784 | 3.147     | 19.0    |
| 16.7432       | 37.36 | 24100 | 9.7768          | 3.5862 | 0.3819 | 3.1273 | 3.3535    | 19.0    |
| 16.7432       | 37.52 | 24200 | 9.7536          | 4.1823 | 0.5884 | 3.645  | 3.8843    | 19.0    |
| 16.7432       | 37.67 | 24300 | 9.7953          | 4.3981 | 0.6441 | 3.7941 | 4.0623    | 19.0    |
| 16.7432       | 37.83 | 24400 | 9.6742          | 3.7833 | 0.4755 | 3.3516 | 3.5543    | 19.0    |
| 16.5714       | 37.98 | 24500 | 9.7946          | 3.3839 | 0.495  | 3.0021 | 3.156     | 19.0    |
| 16.5714       | 38.14 | 24600 | 9.7544          | 4.3873 | 0.6486 | 3.8188 | 4.0653    | 19.0    |
| 16.5714       | 38.29 | 24700 | 9.7586          | 3.4403 | 0.4756 | 3.0402 | 3.2405    | 19.0    |
| 16.5714       | 38.45 | 24800 | 9.7895          | 3.6822 | 0.6247 | 3.2612 | 3.4746    | 19.0    |
| 16.5714       | 38.6  | 24900 | 9.6964          | 3.8743 | 0.6209 | 3.4159 | 3.6051    | 19.0    |
| 16.3393       | 38.76 | 25000 | 9.7190          | 4.1508 | 0.635  | 3.5925 | 3.8753    | 19.0    |
| 16.3393       | 38.91 | 25100 | 9.6435          | 3.6755 | 0.4777 | 3.268  | 3.4572    | 19.0    |
| 16.3393       | 39.07 | 25200 | 9.6390          | 2.9478 | 0.4049 | 2.6531 | 2.7782    | 19.0    |
| 16.3393       | 39.22 | 25300 | 9.6300          | 2.9973 | 0.3897 | 2.6662 | 2.7943    | 19.0    |
| 16.3393       | 39.38 | 25400 | 9.6229          | 3.6726 | 0.4182 | 3.2207 | 3.4595    | 19.0    |
| 16.3076       | 39.53 | 25500 | 9.6392          | 2.9691 | 0.3692 | 2.6709 | 2.8182    | 19.0    |
| 16.3076       | 39.69 | 25600 | 9.5978          | 2.8167 | 0.3437 | 2.593  | 2.7155    | 19.0    |
| 16.3076       | 39.84 | 25700 | 9.6111          | 3.5135 | 0.5453 | 3.1415 | 3.3042    | 19.0    |
| 16.3076       | 40.0  | 25800 | 9.6118          | 3.459  | 0.4963 | 3.1351 | 3.2809    | 19.0    |
| 16.3076       | 40.16 | 25900 | 9.5994          | 3.5735 | 0.539  | 3.2556 | 3.3904    | 19.0    |
| 16.0684       | 40.31 | 26000 | 9.5526          | 3.3388 | 0.4689 | 2.9753 | 3.1562    | 19.0    |
| 16.0684       | 40.47 | 26100 | 9.5365          | 3.0882 | 0.392  | 2.8072 | 2.9556    | 19.0    |
| 16.0684       | 40.62 | 26200 | 9.5571          | 3.0022 | 0.4109 | 2.7108 | 2.8575    | 19.0    |
| 16.0684       | 40.78 | 26300 | 9.5240          | 3.506  | 0.5734 | 3.1577 | 3.3378    | 19.0    |
| 16.0684       | 40.93 | 26400 | 9.4913          | 3.5936 | 0.5165 | 3.2452 | 3.4134    | 19.0    |
| 15.9425       | 41.09 | 26500 | 9.5297          | 3.7802 | 0.6862 | 3.4061 | 3.5436    | 19.0    |
| 15.9425       | 41.24 | 26600 | 9.4657          | 3.8433 | 0.6105 | 3.4621 | 3.638     | 19.0    |
| 15.9425       | 41.4  | 26700 | 9.5049          | 3.5822 | 0.6462 | 3.231  | 3.3745    | 19.0    |
| 15.9425       | 41.55 | 26800 | 9.4739          | 2.9668 | 0.4426 | 2.7345 | 2.8134    | 19.0    |
| 15.9425       | 41.71 | 26900 | 9.4868          | 3.7458 | 0.6934 | 3.3708 | 3.5492    | 19.0    |
| 15.7779       | 41.86 | 27000 | 9.4683          | 3.5254 | 0.6006 | 3.1629 | 3.3011    | 19.0    |
| 15.7779       | 42.02 | 27100 | 9.4108          | 4.2731 | 0.7412 | 3.8236 | 4.0171    | 19.0    |
| 15.7779       | 42.17 | 27200 | 9.3994          | 3.5014 | 0.5738 | 3.1525 | 3.3306    | 19.0    |
| 15.7779       | 42.33 | 27300 | 9.3760          | 3.4929 | 0.4954 | 3.1402 | 3.3028    | 19.0    |
| 15.7779       | 42.48 | 27400 | 9.4201          | 4.2777 | 0.7152 | 3.7943 | 4.0349    | 19.0    |
| 15.7238       | 42.64 | 27500 | 9.3913          | 3.6489 | 0.6371 | 3.2903 | 3.4528    | 19.0    |
| 15.7238       | 42.79 | 27600 | 9.4269          | 3.5269 | 0.6042 | 3.2049 | 3.3528    | 19.0    |
| 15.7238       | 42.95 | 27700 | 9.3847          | 3.4735 | 0.5963 | 3.1522 | 3.2796    | 19.0    |
| 15.7238       | 43.1  | 27800 | 9.3474          | 3.8327 | 0.6428 | 3.406  | 3.5698    | 19.0    |
| 15.7238       | 43.26 | 27900 | 9.3293          | 3.5475 | 0.6313 | 3.1725 | 3.3367    | 19.0    |
| 15.5108       | 43.41 | 28000 | 9.3802          | 4.249  | 0.7997 | 3.7924 | 3.9849    | 19.0    |
| 15.5108       | 43.57 | 28100 | 9.2588          | 3.4476 | 0.4676 | 3.1758 | 3.2993    | 19.0    |
| 15.5108       | 43.72 | 28200 | 9.3447          | 4.0267 | 0.7081 | 3.6208 | 3.7957    | 19.0    |
| 15.5108       | 43.88 | 28300 | 9.2853          | 4.0105 | 0.7799 | 3.5848 | 3.7619    | 19.0    |
| 15.5108       | 44.03 | 28400 | 9.2753          | 3.1833 | 0.4678 | 2.9068 | 3.0168    | 19.0    |
| 15.4004       | 44.19 | 28500 | 9.2345          | 3.6778 | 0.5955 | 3.3212 | 3.4724    | 19.0    |
| 15.4004       | 44.34 | 28600 | 9.3130          | 3.9958 | 0.6892 | 3.5871 | 3.772     | 19.0    |
| 15.4004       | 44.5  | 28700 | 9.2984          | 4.1868 | 0.696  | 3.7194 | 3.9197    | 19.0    |
| 15.4004       | 44.65 | 28800 | 9.2722          | 3.8848 | 0.5914 | 3.5038 | 3.7022    | 19.0    |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0
- Datasets 2.3.2
- Tokenizers 0.12.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "long-t5-local-base-finetuned", "results": []}]}
transformers pytorch longt5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #longt5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

long-t5-local-base-finetuned
============================


This model is a fine-tuned version of google/long-t5-local-base on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 9.2722
* Rouge1: 3.8848
* Rouge2: 0.5914
* Rougel: 3.5038
* Rougelsum: 3.7022
* 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: 1e-06
* train\_batch\_size: 3
* eval\_batch\_size: 3
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50000


### Training results



### Framework versions


* Transformers 4.20.1
* Pytorch 1.12.0
* Datasets 2.3.2
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-06
* train\_batch\_size: 3
* eval\_batch\_size: 3
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50000 ### Training results ### Framework versions


* Transformers 4.20.1
* Pytorch 1.12.0
* Datasets 2.3.2
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #longt5 #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: 1e-06
* train\_batch\_size: 3
* eval\_batch\_size: 3
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50000 ### Training results ### Framework versions


* Transformers 4.20.1
* Pytorch 1.12.0
* Datasets 2.3.2
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #longt5 #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: 1e-06
* train\_batch\_size: 3
* eval\_batch\_size: 3
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50000### Training results### Framework versions


* Transformers 4.20.1
* Pytorch 1.12.0
* Datasets 2.3.2
* Tokenizers 0.12.1