transformers pytorch roberta fill-mask generated_from_trainer base_model:cardiffnlp/twitter-roberta-base-2019-90m license:mit autotrain_compatible endpoints_compatible region:us
---
license: mit
base_model: cardiffnlp/twitter-roberta-base-2019-90m
tags:
- generated_from_trainer
model-index:
- name: 2020-Q3-full_tweets
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# 2020-Q3-full_tweets

This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-2019-90m](https://huggingface.co/cardiffnlp/twitter-roberta-base-2019-90m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9157

## 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: 4.1e-07
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 2400000

### Training results

| Training Loss | Epoch | Step    | Validation Loss |
|:-------------:|:-----:|:-------:|:---------------:|
| No log        | 0.03  | 8000    | 2.2197          |
| 2.3934        | 0.07  | 16000   | 2.1429          |
| 2.3934        | 0.1   | 24000   | 2.1001          |
| 2.2294        | 0.13  | 32000   | 2.0762          |
| 2.2294        | 0.17  | 40000   | 2.0515          |
| 2.1835        | 0.2   | 48000   | 2.0435          |
| 2.1835        | 0.24  | 56000   | 2.0346          |
| 2.1517        | 0.27  | 64000   | 2.0254          |
| 2.1517        | 0.3   | 72000   | 2.0175          |
| 2.1381        | 0.34  | 80000   | 2.0077          |
| 2.1381        | 0.37  | 88000   | 2.0029          |
| 2.1244        | 0.4   | 96000   | 2.0011          |
| 2.1244        | 0.44  | 104000  | 1.9980          |
| 2.1116        | 0.47  | 112000  | 1.9901          |
| 2.1116        | 0.51  | 120000  | 1.9840          |
| 2.1104        | 0.54  | 128000  | 1.9885          |
| 2.1104        | 0.57  | 136000  | 1.9855          |
| 2.1031        | 0.61  | 144000  | 1.9829          |
| 2.1031        | 0.64  | 152000  | 1.9813          |
| 2.0971        | 0.67  | 160000  | 1.9812          |
| 2.0971        | 0.71  | 168000  | 1.9795          |
| 2.1044        | 0.74  | 176000  | 1.9738          |
| 2.1044        | 0.77  | 184000  | 1.9768          |
| 2.0928        | 0.81  | 192000  | 1.9786          |
| 2.0928        | 0.84  | 200000  | 1.9699          |
| 2.0949        | 0.88  | 208000  | 1.9700          |
| 2.0949        | 0.91  | 216000  | 1.9653          |
| 2.0892        | 0.94  | 224000  | 1.9681          |
| 2.0892        | 0.98  | 232000  | 1.9650          |
| 2.0841        | 1.01  | 240000  | 1.9638          |
| 2.0841        | 1.04  | 248000  | 1.9682          |
| 2.0887        | 1.08  | 256000  | 1.9605          |
| 2.0887        | 1.11  | 264000  | 1.9614          |
| 2.0842        | 1.15  | 272000  | 1.9624          |
| 2.0842        | 1.18  | 280000  | 1.9605          |
| 2.0773        | 1.21  | 288000  | 1.9554          |
| 2.0773        | 1.25  | 296000  | 1.9578          |
| 2.0795        | 1.28  | 304000  | 1.9572          |
| 2.0795        | 1.31  | 312000  | 1.9521          |
| 2.0794        | 1.35  | 320000  | 1.9551          |
| 2.0794        | 1.38  | 328000  | 1.9569          |
| 2.0788        | 1.41  | 336000  | 1.9571          |
| 2.0788        | 1.45  | 344000  | 1.9502          |
| 2.0778        | 1.48  | 352000  | 1.9544          |
| 2.0778        | 1.52  | 360000  | 1.9470          |
| 2.0694        | 1.55  | 368000  | 1.9545          |
| 2.0694        | 1.58  | 376000  | 1.9472          |
| 2.0718        | 1.62  | 384000  | 1.9477          |
| 2.0718        | 1.65  | 392000  | 1.9496          |
| 2.0787        | 1.68  | 400000  | 1.9440          |
| 2.0787        | 1.72  | 408000  | 1.9484          |
| 2.0764        | 1.75  | 416000  | 1.9475          |
| 2.0764        | 1.79  | 424000  | 1.9469          |
| 2.0795        | 1.82  | 432000  | 1.9474          |
| 2.0795        | 1.85  | 440000  | 1.9492          |
| 2.07          | 1.89  | 448000  | 1.9480          |
| 2.07          | 1.92  | 456000  | 1.9482          |
| 2.0712        | 1.95  | 464000  | 1.9498          |
| 2.0712        | 1.99  | 472000  | 1.9429          |
| 2.0739        | 2.02  | 480000  | 1.9456          |
| 2.0739        | 2.05  | 488000  | 1.9469          |
| 2.0688        | 2.09  | 496000  | 1.9467          |
| 2.0688        | 2.12  | 504000  | 1.9454          |
| 2.0706        | 2.16  | 512000  | 1.9440          |
| 2.0706        | 2.19  | 520000  | 1.9401          |
| 2.0694        | 2.22  | 528000  | 1.9397          |
| 2.0694        | 2.26  | 536000  | 1.9429          |
| 2.0698        | 2.29  | 544000  | 1.9484          |
| 2.0698        | 2.32  | 552000  | 1.9375          |
| 2.0681        | 2.36  | 560000  | 1.9411          |
| 2.0681        | 2.39  | 568000  | 1.9419          |
| 2.0676        | 2.43  | 576000  | 1.9373          |
| 2.0676        | 2.46  | 584000  | 1.9366          |
| 2.0641        | 2.49  | 592000  | 1.9422          |
| 2.0641        | 2.53  | 600000  | 1.9365          |
| 2.0692        | 2.56  | 608000  | 1.9417          |
| 2.0692        | 2.59  | 616000  | 1.9385          |
| 2.0676        | 2.63  | 624000  | 1.9362          |
| 2.0676        | 2.66  | 632000  | 1.9414          |
| 2.0657        | 2.69  | 640000  | 1.9437          |
| 2.0657        | 2.73  | 648000  | 1.9356          |
| 2.0638        | 2.76  | 656000  | 1.9353          |
| 2.0638        | 2.8   | 664000  | 1.9385          |
| 2.0673        | 2.83  | 672000  | 1.9359          |
| 2.0673        | 2.86  | 680000  | 1.9314          |
| 2.0634        | 2.9   | 688000  | 1.9294          |
| 2.0634        | 2.93  | 696000  | 1.9346          |
| 2.0643        | 2.96  | 704000  | 1.9335          |
| 2.0643        | 3.0   | 712000  | 1.9316          |
| 2.0596        | 3.03  | 720000  | 1.9356          |
| 2.0596        | 3.07  | 728000  | 1.9390          |
| 2.0637        | 3.1   | 736000  | 1.9397          |
| 2.0637        | 3.13  | 744000  | 1.9375          |
| 2.0637        | 3.17  | 752000  | 1.9352          |
| 2.0637        | 3.2   | 760000  | 1.9310          |
| 2.0681        | 3.23  | 768000  | 1.9316          |
| 2.0681        | 3.27  | 776000  | 1.9269          |
| 2.0663        | 3.3   | 784000  | 1.9301          |
| 2.0663        | 3.33  | 792000  | 1.9354          |
| 2.0653        | 3.37  | 800000  | 1.9373          |
| 2.0653        | 3.4   | 808000  | 1.9354          |
| 2.0606        | 3.44  | 816000  | 1.9286          |
| 2.0606        | 3.47  | 824000  | 1.9318          |
| 2.0601        | 3.5   | 832000  | 1.9287          |
| 2.0601        | 3.54  | 840000  | 1.9280          |
| 2.0555        | 3.57  | 848000  | 1.9279          |
| 2.0555        | 3.6   | 856000  | 1.9297          |
| 2.0561        | 3.64  | 864000  | 1.9290          |
| 2.0561        | 3.67  | 872000  | 1.9252          |
| 2.066         | 3.71  | 880000  | 1.9274          |
| 2.066         | 3.74  | 888000  | 1.9257          |
| 2.0634        | 3.77  | 896000  | 1.9290          |
| 2.0634        | 3.81  | 904000  | 1.9267          |
| 2.0613        | 3.84  | 912000  | 1.9295          |
| 2.0613        | 3.87  | 920000  | 1.9300          |
| 2.0599        | 3.91  | 928000  | 1.9326          |
| 2.0599        | 3.94  | 936000  | 1.9313          |
| 2.0592        | 3.97  | 944000  | 1.9237          |
| 2.0592        | 4.01  | 952000  | 1.9272          |
| 2.0602        | 4.04  | 960000  | 1.9261          |
| 2.0602        | 4.08  | 968000  | 1.9283          |
| 2.0575        | 4.11  | 976000  | 1.9294          |
| 2.0575        | 4.14  | 984000  | 1.9284          |
| 2.0585        | 4.18  | 992000  | 1.9263          |
| 2.0585        | 4.21  | 1000000 | 1.9227          |
| 2.0535        | 4.24  | 1008000 | 1.9251          |
| 2.0535        | 4.28  | 1016000 | 1.9273          |
| 2.062         | 4.31  | 1024000 | 1.9242          |
| 2.062         | 4.35  | 1032000 | 1.9242          |
| 2.0606        | 4.38  | 1040000 | 1.9255          |
| 2.0606        | 4.41  | 1048000 | 1.9233          |
| 2.0565        | 4.45  | 1056000 | 1.9243          |
| 2.0565        | 4.48  | 1064000 | 1.9272          |
| 2.0538        | 4.51  | 1072000 | 1.9308          |
| 2.0538        | 4.55  | 1080000 | 1.9236          |
| 2.0573        | 4.58  | 1088000 | 1.9246          |
| 2.0573        | 4.61  | 1096000 | 1.9237          |
| 2.0562        | 4.65  | 1104000 | 1.9199          |
| 2.0562        | 4.68  | 1112000 | 1.9235          |
| 2.0534        | 4.72  | 1120000 | 1.9209          |
| 2.0534        | 4.75  | 1128000 | 1.9215          |
| 2.0567        | 4.78  | 1136000 | 1.9242          |
| 2.0567        | 4.82  | 1144000 | 1.9272          |
| 2.0592        | 4.85  | 1152000 | 1.9257          |
| 2.0592        | 4.88  | 1160000 | 1.9228          |
| 2.0599        | 4.92  | 1168000 | 1.9205          |
| 2.0599        | 4.95  | 1176000 | 1.9190          |
| 2.0504        | 4.99  | 1184000 | 1.9241          |
| 2.0504        | 5.02  | 1192000 | 1.9214          |
| 2.0541        | 5.05  | 1200000 | 1.9265          |
| 2.0541        | 5.09  | 1208000 | 1.9250          |
| 2.0581        | 5.12  | 1216000 | 1.9174          |
| 2.0581        | 5.15  | 1224000 | 1.9232          |
| 2.057         | 5.19  | 1232000 | 1.9242          |
| 2.057         | 5.22  | 1240000 | 1.9201          |
| 2.0541        | 5.25  | 1248000 | 1.9187          |
| 2.0541        | 5.29  | 1256000 | 1.9205          |
| 2.0542        | 5.32  | 1264000 | 1.9178          |
| 2.0542        | 5.36  | 1272000 | 1.9239          |
| 2.0526        | 5.39  | 1280000 | 1.9185          |
| 2.0526        | 5.42  | 1288000 | 1.9227          |
| 2.0503        | 5.46  | 1296000 | 1.9223          |
| 2.0503        | 5.49  | 1304000 | 1.9230          |
| 2.0579        | 5.52  | 1312000 | 1.9143          |
| 2.0579        | 5.56  | 1320000 | 1.9188          |
| 2.0523        | 5.59  | 1328000 | 1.9170          |
| 2.0523        | 5.63  | 1336000 | 1.9252          |
| 2.056         | 5.66  | 1344000 | 1.9183          |
| 2.056         | 5.69  | 1352000 | 1.9237          |
| 2.0545        | 5.73  | 1360000 | 1.9198          |
| 2.0545        | 5.76  | 1368000 | 1.9225          |
| 2.0552        | 5.79  | 1376000 | 1.9172          |
| 2.0552        | 5.83  | 1384000 | 1.9179          |
| 2.0571        | 5.86  | 1392000 | 1.9238          |
| 2.0571        | 5.89  | 1400000 | 1.9189          |
| 2.0637        | 5.93  | 1408000 | 1.9217          |
| 2.0637        | 5.96  | 1416000 | 1.9190          |
| 2.0554        | 6.0   | 1424000 | 1.9259          |
| 2.0554        | 6.03  | 1432000 | 1.9184          |
| 2.0545        | 6.06  | 1440000 | 1.9244          |
| 2.0545        | 6.1   | 1448000 | 1.9201          |
| 2.0538        | 6.13  | 1456000 | 1.9251          |
| 2.0538        | 6.16  | 1464000 | 1.9216          |
| 2.058         | 6.2   | 1472000 | 1.9221          |
| 2.058         | 6.23  | 1480000 | 1.9247          |
| 2.0482        | 6.27  | 1488000 | 1.9209          |
| 2.0482        | 6.3   | 1496000 | 1.9207          |
| 2.0528        | 6.33  | 1504000 | 1.9177          |
| 2.0528        | 6.37  | 1512000 | 1.9141          |
| 2.0529        | 6.4   | 1520000 | 1.9213          |
| 2.0529        | 6.43  | 1528000 | 1.9170          |
| 2.059         | 6.47  | 1536000 | 1.9161          |
| 2.059         | 6.5   | 1544000 | 1.9164          |
| 2.056         | 6.53  | 1552000 | 1.9177          |
| 2.056         | 6.57  | 1560000 | 1.9189          |
| 2.058         | 6.6   | 1568000 | 1.9181          |
| 2.058         | 6.64  | 1576000 | 1.9214          |
| 2.0543        | 6.67  | 1584000 | 1.9137          |
| 2.0543        | 6.7   | 1592000 | 1.9181          |
| 2.0513        | 6.74  | 1600000 | 1.9187          |
| 2.0513        | 6.77  | 1608000 | 1.9176          |
| 2.0587        | 6.8   | 1616000 | 1.9145          |
| 2.0587        | 6.84  | 1624000 | 1.9192          |
| 2.053         | 6.87  | 1632000 | 1.9202          |
| 2.053         | 6.91  | 1640000 | 1.9183          |
| 2.0543        | 6.94  | 1648000 | 1.9163          |
| 2.0543        | 6.97  | 1656000 | 1.9171          |
| 2.0492        | 7.01  | 1664000 | 1.9183          |
| 2.0492        | 7.04  | 1672000 | 1.9172          |
| 2.0505        | 7.07  | 1680000 | 1.9190          |
| 2.0505        | 7.11  | 1688000 | 1.9181          |
| 2.0548        | 7.14  | 1696000 | 1.9160          |
| 2.0548        | 7.17  | 1704000 | 1.9168          |
| 2.0524        | 7.21  | 1712000 | 1.9155          |
| 2.0524        | 7.24  | 1720000 | 1.9161          |
| 2.0539        | 7.28  | 1728000 | 1.9189          |
| 2.0539        | 7.31  | 1736000 | 1.9169          |
| 2.0542        | 7.34  | 1744000 | 1.9177          |
| 2.0542        | 7.38  | 1752000 | 1.9140          |
| 2.0509        | 7.41  | 1760000 | 1.9152          |
| 2.0509        | 7.44  | 1768000 | 1.9160          |
| 2.0507        | 7.48  | 1776000 | 1.9156          |
| 2.0507        | 7.51  | 1784000 | 1.9139          |
| 2.057         | 7.55  | 1792000 | 1.9140          |
| 2.057         | 7.58  | 1800000 | 1.9248          |
| 2.0515        | 7.61  | 1808000 | 1.9143          |
| 2.0515        | 7.65  | 1816000 | 1.9188          |
| 2.0503        | 7.68  | 1824000 | 1.9127          |
| 2.0503        | 7.71  | 1832000 | 1.9132          |
| 2.0534        | 7.75  | 1840000 | 1.9129          |
| 2.0534        | 7.78  | 1848000 | 1.9195          |
| 2.0553        | 7.81  | 1856000 | 1.9157          |
| 2.0553        | 7.85  | 1864000 | 1.9177          |
| 2.0496        | 7.88  | 1872000 | 1.9148          |
| 2.0496        | 7.92  | 1880000 | 1.9132          |
| 2.0537        | 7.95  | 1888000 | 1.9184          |
| 2.0537        | 7.98  | 1896000 | 1.9160          |
| 2.0505        | 8.02  | 1904000 | 1.9151          |
| 2.0505        | 8.05  | 1912000 | 1.9210          |
| 2.0536        | 8.08  | 1920000 | 1.9173          |
| 2.0536        | 8.12  | 1928000 | 1.9139          |
| 2.0493        | 8.15  | 1936000 | 1.9209          |
| 2.0493        | 8.19  | 1944000 | 1.9151          |
| 2.052         | 8.22  | 1952000 | 1.9174          |
| 2.052         | 8.25  | 1960000 | 1.9146          |
| 2.0575        | 8.29  | 1968000 | 1.9169          |
| 2.0575        | 8.32  | 1976000 | 1.9173          |
| 2.0499        | 8.35  | 1984000 | 1.9175          |
| 2.0499        | 8.39  | 1992000 | 1.9136          |
| 2.0573        | 8.42  | 2000000 | 1.9159          |
| 2.0573        | 8.45  | 2008000 | 1.9148          |
| 2.0556        | 8.49  | 2016000 | 1.9174          |
| 2.0556        | 8.52  | 2024000 | 1.9146          |
| 2.0558        | 8.56  | 2032000 | 1.9152          |
| 2.0558        | 8.59  | 2040000 | 1.9125          |
| 2.0493        | 8.62  | 2048000 | 1.9156          |
| 2.0493        | 8.66  | 2056000 | 1.9121          |
| 2.0492        | 8.69  | 2064000 | 1.9227          |
| 2.0492        | 8.72  | 2072000 | 1.9136          |
| 2.0576        | 8.76  | 2080000 | 1.9147          |
| 2.0576        | 8.79  | 2088000 | 1.9159          |
| 2.0512        | 8.83  | 2096000 | 1.9116          |
| 2.0512        | 8.86  | 2104000 | 1.9159          |
| 2.05          | 8.89  | 2112000 | 1.9130          |
| 2.05          | 8.93  | 2120000 | 1.9152          |
| 2.0437        | 8.96  | 2128000 | 1.9176          |
| 2.0437        | 8.99  | 2136000 | 1.9193          |
| 2.053         | 9.03  | 2144000 | 1.9124          |
| 2.053         | 9.06  | 2152000 | 1.9139          |
| 2.0496        | 9.09  | 2160000 | 1.9128          |
| 2.0496        | 9.13  | 2168000 | 1.9162          |
| 2.0495        | 9.16  | 2176000 | 1.9065          |
| 2.0495        | 9.2   | 2184000 | 1.9211          |
| 2.0468        | 9.23  | 2192000 | 1.9095          |
| 2.0468        | 9.26  | 2200000 | 1.9163          |
| 2.0507        | 9.3   | 2208000 | 1.9106          |
| 2.0507        | 9.33  | 2216000 | 1.9165          |
| 2.0526        | 9.36  | 2224000 | 1.9179          |
| 2.0526        | 9.4   | 2232000 | 1.9178          |
| 2.0537        | 9.43  | 2240000 | 1.9163          |
| 2.0537        | 9.47  | 2248000 | 1.9159          |
| 2.0502        | 9.5   | 2256000 | 1.9146          |
| 2.0502        | 9.53  | 2264000 | 1.9169          |
| 2.0492        | 9.57  | 2272000 | 1.9164          |
| 2.0492        | 9.6   | 2280000 | 1.9154          |
| 2.0505        | 9.63  | 2288000 | 1.9066          |
| 2.0505        | 9.67  | 2296000 | 1.9140          |
| 2.0516        | 9.7   | 2304000 | 1.9125          |
| 2.0516        | 9.73  | 2312000 | 1.9184          |
| 2.0559        | 9.77  | 2320000 | 1.9178          |
| 2.0559        | 9.8   | 2328000 | 1.9164          |
| 2.0528        | 9.84  | 2336000 | 1.9087          |
| 2.0528        | 9.87  | 2344000 | 1.9165          |
| 2.0559        | 9.9   | 2352000 | 1.9113          |
| 2.0559        | 9.94  | 2360000 | 1.9146          |
| 2.058         | 9.97  | 2368000 | 1.9156          |
| 2.058         | 10.0  | 2376000 | 1.9137          |
| 2.053         | 10.04 | 2384000 | 1.9081          |
| 2.053         | 10.07 | 2392000 | 1.9148          |
| 2.0566        | 10.11 | 2400000 | 1.9142          |


### Framework versions

- Transformers 4.35.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0
