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-Q4-50p-filtered-random
  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-Q4-50p-filtered-random

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: 2.2570

## 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: 16
- 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    | 2.5888          |
| 2.8176        | 0.07  | 16000   | 2.4814          |
| 2.8176        | 0.1   | 24000   | 2.4264          |
| 2.5609        | 0.13  | 32000   | 2.3993          |
| 2.5609        | 0.17  | 40000   | 2.3761          |
| 2.4969        | 0.2   | 48000   | 2.3624          |
| 2.4969        | 0.24  | 56000   | 2.3481          |
| 2.48          | 0.27  | 64000   | 2.3399          |
| 2.48          | 0.3   | 72000   | 2.3289          |
| 2.451         | 0.34  | 80000   | 2.3221          |
| 2.451         | 0.37  | 88000   | 2.3183          |
| 2.4367        | 0.4   | 96000   | 2.3221          |
| 2.4367        | 0.44  | 104000  | 2.3142          |
| 2.4388        | 0.47  | 112000  | 2.3028          |
| 2.4388        | 0.51  | 120000  | 2.3066          |
| 2.4215        | 0.54  | 128000  | 2.3013          |
| 2.4215        | 0.57  | 136000  | 2.3039          |
| 2.4178        | 0.61  | 144000  | 2.2907          |
| 2.4178        | 0.64  | 152000  | 2.2996          |
| 2.4103        | 0.67  | 160000  | 2.2943          |
| 2.4103        | 0.71  | 168000  | 2.2900          |
| 2.4122        | 0.74  | 176000  | 2.2902          |
| 2.4122        | 0.77  | 184000  | 2.2961          |
| 2.4173        | 0.81  | 192000  | 2.2906          |
| 2.4173        | 0.84  | 200000  | 2.2925          |
| 2.4067        | 0.88  | 208000  | 2.2911          |
| 2.4067        | 0.91  | 216000  | 2.2844          |
| 2.4059        | 0.94  | 224000  | 2.2855          |
| 2.4059        | 0.98  | 232000  | 2.2811          |
| 2.4089        | 1.01  | 240000  | 2.2788          |
| 2.4089        | 1.04  | 248000  | 2.2796          |
| 2.4034        | 1.08  | 256000  | 2.2827          |
| 2.4034        | 1.11  | 264000  | 2.2803          |
| 2.408         | 1.15  | 272000  | 2.2746          |
| 2.408         | 1.18  | 280000  | 2.2851          |
| 2.3985        | 1.21  | 288000  | 2.2781          |
| 2.3985        | 1.25  | 296000  | 2.2795          |
| 2.4009        | 1.28  | 304000  | 2.2777          |
| 2.4009        | 1.31  | 312000  | 2.2770          |
| 2.4017        | 1.35  | 320000  | 2.2763          |
| 2.4017        | 1.38  | 328000  | 2.2734          |
| 2.4056        | 1.41  | 336000  | 2.2758          |
| 2.4056        | 1.45  | 344000  | 2.2763          |
| 2.4017        | 1.48  | 352000  | 2.2700          |
| 2.4017        | 1.52  | 360000  | 2.2736          |
| 2.3993        | 1.55  | 368000  | 2.2763          |
| 2.3993        | 1.58  | 376000  | 2.2792          |
| 2.3994        | 1.62  | 384000  | 2.2666          |
| 2.3994        | 1.65  | 392000  | 2.2699          |
| 2.3969        | 1.68  | 400000  | 2.2753          |
| 2.3969        | 1.72  | 408000  | 2.2707          |
| 2.4094        | 1.75  | 416000  | 2.2731          |
| 2.4094        | 1.79  | 424000  | 2.2709          |
| 2.4102        | 1.82  | 432000  | 2.2623          |
| 2.4102        | 1.85  | 440000  | 2.2751          |
| 2.4042        | 1.89  | 448000  | 2.2728          |
| 2.4042        | 1.92  | 456000  | 2.2714          |
| 2.3991        | 1.95  | 464000  | 2.2634          |
| 2.3991        | 1.99  | 472000  | 2.2695          |
| 2.3976        | 2.02  | 480000  | 2.2731          |
| 2.3976        | 2.05  | 488000  | 2.2736          |
| 2.4019        | 2.09  | 496000  | 2.2803          |
| 2.4019        | 2.12  | 504000  | 2.2699          |
| 2.4044        | 2.16  | 512000  | 2.2731          |
| 2.4044        | 2.19  | 520000  | 2.2709          |
| 2.3989        | 2.22  | 528000  | 2.2716          |
| 2.3989        | 2.26  | 536000  | 2.2668          |
| 2.4068        | 2.29  | 544000  | 2.2728          |
| 2.4068        | 2.32  | 552000  | 2.2709          |
| 2.4047        | 2.36  | 560000  | 2.2683          |
| 2.4047        | 2.39  | 568000  | 2.2731          |
| 2.3976        | 2.43  | 576000  | 2.2676          |
| 2.3976        | 2.46  | 584000  | 2.2736          |
| 2.3994        | 2.49  | 592000  | 2.2624          |
| 2.3994        | 2.53  | 600000  | 2.2773          |
| 2.3997        | 2.56  | 608000  | 2.2719          |
| 2.3997        | 2.59  | 616000  | 2.2701          |
| 2.4042        | 2.63  | 624000  | 2.2695          |
| 2.4042        | 2.66  | 632000  | 2.2666          |
| 2.3994        | 2.69  | 640000  | 2.2719          |
| 2.3994        | 2.73  | 648000  | 2.2686          |
| 2.3953        | 2.76  | 656000  | 2.2623          |
| 2.3953        | 2.8   | 664000  | 2.2662          |
| 2.402         | 2.83  | 672000  | 2.2707          |
| 2.402         | 2.86  | 680000  | 2.2662          |
| 2.3929        | 2.9   | 688000  | 2.2726          |
| 2.3929        | 2.93  | 696000  | 2.2682          |
| 2.3977        | 2.96  | 704000  | 2.2634          |
| 2.3977        | 3.0   | 712000  | 2.2685          |
| 2.4022        | 3.03  | 720000  | 2.2693          |
| 2.4022        | 3.07  | 728000  | 2.2666          |
| 2.4046        | 3.1   | 736000  | 2.2690          |
| 2.4046        | 3.13  | 744000  | 2.2641          |
| 2.3977        | 3.17  | 752000  | 2.2658          |
| 2.3977        | 3.2   | 760000  | 2.2645          |
| 2.4015        | 3.23  | 768000  | 2.2619          |
| 2.4015        | 3.27  | 776000  | 2.2671          |
| 2.393         | 3.3   | 784000  | 2.2694          |
| 2.393         | 3.33  | 792000  | 2.2662          |
| 2.3907        | 3.37  | 800000  | 2.2691          |
| 2.3907        | 3.4   | 808000  | 2.2679          |
| 2.3987        | 3.44  | 816000  | 2.2688          |
| 2.3987        | 3.47  | 824000  | 2.2655          |
| 2.4116        | 3.5   | 832000  | 2.2668          |
| 2.4116        | 3.54  | 840000  | 2.2675          |
| 2.3913        | 3.57  | 848000  | 2.2689          |
| 2.3913        | 3.6   | 856000  | 2.2642          |
| 2.3974        | 3.64  | 864000  | 2.2667          |
| 2.3974        | 3.67  | 872000  | 2.2717          |
| 2.4046        | 3.71  | 880000  | 2.2661          |
| 2.4046        | 3.74  | 888000  | 2.2705          |
| 2.4006        | 3.77  | 896000  | 2.2637          |
| 2.4006        | 3.81  | 904000  | 2.2635          |
| 2.3987        | 3.84  | 912000  | 2.2642          |
| 2.3987        | 3.87  | 920000  | 2.2691          |
| 2.4068        | 3.91  | 928000  | 2.2689          |
| 2.4068        | 3.94  | 936000  | 2.2730          |
| 2.4092        | 3.97  | 944000  | 2.2644          |
| 2.4092        | 4.01  | 952000  | 2.2706          |
| 2.4035        | 4.04  | 960000  | 2.2671          |
| 2.4035        | 4.08  | 968000  | 2.2562          |
| 2.4005        | 4.11  | 976000  | 2.2622          |
| 2.4005        | 4.14  | 984000  | 2.2642          |
| 2.406         | 4.18  | 992000  | 2.2625          |
| 2.406         | 4.21  | 1000000 | 2.2662          |
| 2.3972        | 4.24  | 1008000 | 2.2658          |
| 2.3972        | 4.28  | 1016000 | 2.2668          |
| 2.3937        | 4.31  | 1024000 | 2.2593          |
| 2.3937        | 4.35  | 1032000 | 2.2712          |
| 2.3982        | 4.38  | 1040000 | 2.2695          |
| 2.3982        | 4.41  | 1048000 | 2.2684          |
| 2.4034        | 4.45  | 1056000 | 2.2643          |
| 2.4034        | 4.48  | 1064000 | 2.2665          |
| 2.3996        | 4.51  | 1072000 | 2.2692          |
| 2.3996        | 4.55  | 1080000 | 2.2628          |
| 2.4054        | 4.58  | 1088000 | 2.2673          |
| 2.4054        | 4.61  | 1096000 | 2.2577          |
| 2.4039        | 4.65  | 1104000 | 2.2671          |
| 2.4039        | 4.68  | 1112000 | 2.2586          |
| 2.4033        | 4.72  | 1120000 | 2.2730          |
| 2.4033        | 4.75  | 1128000 | 2.2655          |
| 2.4036        | 4.78  | 1136000 | 2.2694          |
| 2.4036        | 4.82  | 1144000 | 2.2630          |
| 2.4036        | 4.85  | 1152000 | 2.2618          |
| 2.4036        | 4.88  | 1160000 | 2.2665          |
| 2.4005        | 4.92  | 1168000 | 2.2609          |
| 2.4005        | 4.95  | 1176000 | 2.2617          |
| 2.4065        | 4.99  | 1184000 | 2.2646          |
| 2.4065        | 5.02  | 1192000 | 2.2606          |
| 2.4044        | 5.05  | 1200000 | 2.2656          |
| 2.4044        | 5.09  | 1208000 | 2.2630          |
| 2.3997        | 5.12  | 1216000 | 2.2737          |
| 2.3997        | 5.15  | 1224000 | 2.2762          |
| 2.407         | 5.19  | 1232000 | 2.2669          |
| 2.407         | 5.22  | 1240000 | 2.2695          |
| 2.4013        | 5.25  | 1248000 | 2.2704          |
| 2.4013        | 5.29  | 1256000 | 2.2612          |
| 2.4118        | 5.32  | 1264000 | 2.2654          |
| 2.4118        | 5.36  | 1272000 | 2.2683          |
| 2.3953        | 5.39  | 1280000 | 2.2628          |
| 2.3953        | 5.42  | 1288000 | 2.2605          |
| 2.3973        | 5.46  | 1296000 | 2.2667          |
| 2.3973        | 5.49  | 1304000 | 2.2640          |
| 2.4027        | 5.52  | 1312000 | 2.2619          |
| 2.4027        | 5.56  | 1320000 | 2.2687          |
| 2.3967        | 5.59  | 1328000 | 2.2598          |
| 2.3967        | 5.63  | 1336000 | 2.2621          |
| 2.4028        | 5.66  | 1344000 | 2.2602          |
| 2.4028        | 5.69  | 1352000 | 2.2713          |
| 2.4053        | 5.73  | 1360000 | 2.2623          |
| 2.4053        | 5.76  | 1368000 | 2.2697          |
| 2.3987        | 5.79  | 1376000 | 2.2638          |
| 2.3987        | 5.83  | 1384000 | 2.2601          |
| 2.3987        | 5.86  | 1392000 | 2.2642          |
| 2.3987        | 5.89  | 1400000 | 2.2656          |
| 2.401         | 5.93  | 1408000 | 2.2712          |
| 2.401         | 5.96  | 1416000 | 2.2639          |
| 2.4011        | 6.0   | 1424000 | 2.2646          |
| 2.4011        | 6.03  | 1432000 | 2.2669          |
| 2.4022        | 6.06  | 1440000 | 2.2619          |
| 2.4022        | 6.1   | 1448000 | 2.2580          |
| 2.3998        | 6.13  | 1456000 | 2.2612          |
| 2.3998        | 6.16  | 1464000 | 2.2652          |
| 2.3999        | 6.2   | 1472000 | 2.2610          |
| 2.3999        | 6.23  | 1480000 | 2.2567          |
| 2.3984        | 6.27  | 1488000 | 2.2590          |
| 2.3984        | 6.3   | 1496000 | 2.2565          |
| 2.4017        | 6.33  | 1504000 | 2.2658          |
| 2.4017        | 6.37  | 1512000 | 2.2626          |
| 2.4055        | 6.4   | 1520000 | 2.2656          |
| 2.4055        | 6.43  | 1528000 | 2.2622          |
| 2.3959        | 6.47  | 1536000 | 2.2691          |
| 2.3959        | 6.5   | 1544000 | 2.2604          |
| 2.4016        | 6.53  | 1552000 | 2.2599          |
| 2.4016        | 6.57  | 1560000 | 2.2655          |
| 2.3986        | 6.6   | 1568000 | 2.2684          |
| 2.3986        | 6.64  | 1576000 | 2.2716          |
| 2.4051        | 6.67  | 1584000 | 2.2605          |
| 2.4051        | 6.7   | 1592000 | 2.2569          |
| 2.4057        | 6.74  | 1600000 | 2.2687          |
| 2.4057        | 6.77  | 1608000 | 2.2571          |
| 2.3956        | 6.8   | 1616000 | 2.2664          |
| 2.3956        | 6.84  | 1624000 | 2.2612          |
| 2.4048        | 6.87  | 1632000 | 2.2643          |
| 2.4048        | 6.91  | 1640000 | 2.2633          |
| 2.4042        | 6.94  | 1648000 | 2.2634          |
| 2.4042        | 6.97  | 1656000 | 2.2637          |
| 2.4008        | 7.01  | 1664000 | 2.2619          |
| 2.4008        | 7.04  | 1672000 | 2.2579          |
| 2.397         | 7.07  | 1680000 | 2.2628          |
| 2.397         | 7.11  | 1688000 | 2.2593          |
| 2.4044        | 7.14  | 1696000 | 2.2593          |
| 2.4044        | 7.17  | 1704000 | 2.2613          |
| 2.3979        | 7.21  | 1712000 | 2.2685          |
| 2.3979        | 7.24  | 1720000 | 2.2683          |
| 2.4017        | 7.28  | 1728000 | 2.2611          |
| 2.4017        | 7.31  | 1736000 | 2.2672          |
| 2.4017        | 7.34  | 1744000 | 2.2577          |
| 2.4017        | 7.38  | 1752000 | 2.2609          |
| 2.4018        | 7.41  | 1760000 | 2.2567          |
| 2.4018        | 7.44  | 1768000 | 2.2661          |
| 2.3905        | 7.48  | 1776000 | 2.2671          |
| 2.3905        | 7.51  | 1784000 | 2.2663          |
| 2.4063        | 7.55  | 1792000 | 2.2619          |
| 2.4063        | 7.58  | 1800000 | 2.2587          |
| 2.4015        | 7.61  | 1808000 | 2.2584          |
| 2.4015        | 7.65  | 1816000 | 2.2580          |
| 2.3984        | 7.68  | 1824000 | 2.2586          |
| 2.3984        | 7.71  | 1832000 | 2.2620          |
| 2.3962        | 7.75  | 1840000 | 2.2584          |
| 2.3962        | 7.78  | 1848000 | 2.2607          |
| 2.3998        | 7.81  | 1856000 | 2.2638          |
| 2.3998        | 7.85  | 1864000 | 2.2629          |
| 2.4005        | 7.88  | 1872000 | 2.2716          |
| 2.4005        | 7.92  | 1880000 | 2.2623          |
| 2.4006        | 7.95  | 1888000 | 2.2555          |
| 2.4006        | 7.98  | 1896000 | 2.2653          |
| 2.3946        | 8.02  | 1904000 | 2.2629          |
| 2.3946        | 8.05  | 1912000 | 2.2654          |
| 2.3983        | 8.08  | 1920000 | 2.2623          |
| 2.3983        | 8.12  | 1928000 | 2.2544          |
| 2.4038        | 8.15  | 1936000 | 2.2605          |
| 2.4038        | 8.19  | 1944000 | 2.2622          |
| 2.399         | 8.22  | 1952000 | 2.2600          |
| 2.399         | 8.25  | 1960000 | 2.2629          |
| 2.3983        | 8.29  | 1968000 | 2.2621          |
| 2.3983        | 8.32  | 1976000 | 2.2609          |
| 2.4059        | 8.35  | 1984000 | 2.2705          |
| 2.4059        | 8.39  | 1992000 | 2.2572          |
| 2.4058        | 8.42  | 2000000 | 2.2602          |
| 2.4058        | 8.45  | 2008000 | 2.2626          |
| 2.3954        | 8.49  | 2016000 | 2.2668          |
| 2.3954        | 8.52  | 2024000 | 2.2599          |
| 2.3932        | 8.56  | 2032000 | 2.2643          |
| 2.3932        | 8.59  | 2040000 | 2.2559          |
| 2.4001        | 8.62  | 2048000 | 2.2614          |
| 2.4001        | 8.66  | 2056000 | 2.2577          |
| 2.3912        | 8.69  | 2064000 | 2.2665          |
| 2.3912        | 8.72  | 2072000 | 2.2576          |
| 2.4015        | 8.76  | 2080000 | 2.2672          |
| 2.4015        | 8.79  | 2088000 | 2.2598          |
| 2.4015        | 8.83  | 2096000 | 2.2599          |
| 2.4015        | 8.86  | 2104000 | 2.2641          |
| 2.399         | 8.89  | 2112000 | 2.2612          |
| 2.399         | 8.93  | 2120000 | 2.2607          |
| 2.3963        | 8.96  | 2128000 | 2.2633          |
| 2.3963        | 8.99  | 2136000 | 2.2567          |
| 2.3957        | 9.03  | 2144000 | 2.2630          |
| 2.3957        | 9.06  | 2152000 | 2.2597          |
| 2.3943        | 9.09  | 2160000 | 2.2624          |
| 2.3943        | 9.13  | 2168000 | 2.2599          |
| 2.4025        | 9.16  | 2176000 | 2.2578          |
| 2.4025        | 9.2   | 2184000 | 2.2640          |
| 2.3944        | 9.23  | 2192000 | 2.2562          |
| 2.3944        | 9.26  | 2200000 | 2.2660          |
| 2.3964        | 9.3   | 2208000 | 2.2556          |
| 2.3964        | 9.33  | 2216000 | 2.2697          |
| 2.4026        | 9.36  | 2224000 | 2.2652          |
| 2.4026        | 9.4   | 2232000 | 2.2571          |
| 2.398         | 9.43  | 2240000 | 2.2555          |
| 2.398         | 9.47  | 2248000 | 2.2607          |
| 2.4038        | 9.5   | 2256000 | 2.2558          |
| 2.4038        | 9.53  | 2264000 | 2.2660          |
| 2.4027        | 9.57  | 2272000 | 2.2587          |
| 2.4027        | 9.6   | 2280000 | 2.2605          |
| 2.4025        | 9.63  | 2288000 | 2.2578          |
| 2.4025        | 9.67  | 2296000 | 2.2609          |
| 2.3969        | 9.7   | 2304000 | 2.2597          |
| 2.3969        | 9.73  | 2312000 | 2.2619          |
| 2.3886        | 9.77  | 2320000 | 2.2645          |
| 2.3886        | 9.8   | 2328000 | 2.2717          |
| 2.3942        | 9.84  | 2336000 | 2.2627          |
| 2.3942        | 9.87  | 2344000 | 2.2582          |
| 2.396         | 9.9   | 2352000 | 2.2634          |
| 2.396         | 9.94  | 2360000 | 2.2582          |
| 2.3998        | 9.97  | 2368000 | 2.2643          |
| 2.3998        | 10.0  | 2376000 | 2.2690          |
| 2.4014        | 10.04 | 2384000 | 2.2655          |
| 2.4014        | 10.07 | 2392000 | 2.2660          |
| 2.4004        | 10.11 | 2400000 | 2.2650          |


### Framework versions

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