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-Q4-25p-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-Q4-25p-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: 2.2681

## 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        | 0.02  | 8000    | 2.5802          |
| 2.8151        | 0.04  | 16000   | 2.4882          |
| 2.8151        | 0.07  | 24000   | 2.4292          |
| 2.5636        | 0.09  | 32000   | 2.3980          |
| 2.5636        | 0.11  | 40000   | 2.3799          |
| 2.4947        | 0.13  | 48000   | 2.3665          |
| 2.4947        | 0.16  | 56000   | 2.3455          |
| 2.473         | 0.18  | 64000   | 2.3419          |
| 2.473         | 0.2   | 72000   | 2.3307          |
| 2.4512        | 0.22  | 80000   | 2.3289          |
| 2.4512        | 0.25  | 88000   | 2.3250          |
| 2.4421        | 0.27  | 96000   | 2.3189          |
| 2.4421        | 0.29  | 104000  | 2.3200          |
| 2.4354        | 0.31  | 112000  | 2.3155          |
| 2.4354        | 0.34  | 120000  | 2.3138          |
| 2.4324        | 0.36  | 128000  | 2.3054          |
| 2.4324        | 0.38  | 136000  | 2.3028          |
| 2.4253        | 0.4   | 144000  | 2.3029          |
| 2.4253        | 0.43  | 152000  | 2.3006          |
| 2.4156        | 0.45  | 160000  | 2.3001          |
| 2.4156        | 0.47  | 168000  | 2.2980          |
| 2.4165        | 0.49  | 176000  | 2.2913          |
| 2.4165        | 0.52  | 184000  | 2.2974          |
| 2.4131        | 0.54  | 192000  | 2.2906          |
| 2.4131        | 0.56  | 200000  | 2.2908          |
| 2.407         | 0.58  | 208000  | 2.2895          |
| 2.407         | 0.61  | 216000  | 2.2865          |
| 2.4153        | 0.63  | 224000  | 2.2914          |
| 2.4153        | 0.65  | 232000  | 2.2806          |
| 2.4011        | 0.67  | 240000  | 2.2819          |
| 2.4011        | 0.7   | 248000  | 2.2854          |
| 2.4087        | 0.72  | 256000  | 2.2837          |
| 2.4087        | 0.74  | 264000  | 2.2866          |
| 2.4059        | 0.76  | 272000  | 2.2855          |
| 2.4059        | 0.79  | 280000  | 2.2868          |
| 2.4086        | 0.81  | 288000  | 2.2770          |
| 2.4086        | 0.83  | 296000  | 2.2789          |
| 2.4093        | 0.85  | 304000  | 2.2792          |
| 2.4093        | 0.88  | 312000  | 2.2797          |
| 2.4036        | 0.9   | 320000  | 2.2794          |
| 2.4036        | 0.92  | 328000  | 2.2768          |
| 2.4063        | 0.94  | 336000  | 2.2836          |
| 2.4063        | 0.97  | 344000  | 2.2809          |
| 2.4047        | 0.99  | 352000  | 2.2808          |
| 2.4047        | 1.01  | 360000  | 2.2840          |
| 2.4084        | 1.03  | 368000  | 2.2799          |
| 2.4084        | 1.06  | 376000  | 2.2726          |
| 2.4041        | 1.08  | 384000  | 2.2824          |
| 2.4041        | 1.1   | 392000  | 2.2781          |
| 2.4034        | 1.12  | 400000  | 2.2751          |
| 2.4034        | 1.15  | 408000  | 2.2761          |
| 2.3951        | 1.17  | 416000  | 2.2732          |
| 2.3951        | 1.19  | 424000  | 2.2710          |
| 2.409         | 1.21  | 432000  | 2.2780          |
| 2.409         | 1.24  | 440000  | 2.2715          |
| 2.3985        | 1.26  | 448000  | 2.2790          |
| 2.3985        | 1.28  | 456000  | 2.2766          |
| 2.4016        | 1.3   | 464000  | 2.2745          |
| 2.4016        | 1.32  | 472000  | 2.2719          |
| 2.3978        | 1.35  | 480000  | 2.2755          |
| 2.3978        | 1.37  | 488000  | 2.2699          |
| 2.406         | 1.39  | 496000  | 2.2823          |
| 2.406         | 1.41  | 504000  | 2.2736          |
| 2.3958        | 1.44  | 512000  | 2.2728          |
| 2.3958        | 1.46  | 520000  | 2.2763          |
| 2.406         | 1.48  | 528000  | 2.2781          |
| 2.406         | 1.5   | 536000  | 2.2723          |
| 2.4           | 1.53  | 544000  | 2.2733          |
| 2.4           | 1.55  | 552000  | 2.2715          |
| 2.3998        | 1.57  | 560000  | 2.2716          |
| 2.3998        | 1.59  | 568000  | 2.2751          |
| 2.4017        | 1.62  | 576000  | 2.2743          |
| 2.4017        | 1.64  | 584000  | 2.2739          |
| 2.4019        | 1.66  | 592000  | 2.2755          |
| 2.4019        | 1.68  | 600000  | 2.2691          |
| 2.398         | 1.71  | 608000  | 2.2706          |
| 2.398         | 1.73  | 616000  | 2.2703          |
| 2.4027        | 1.75  | 624000  | 2.2657          |
| 2.4027        | 1.77  | 632000  | 2.2674          |
| 2.4           | 1.8   | 640000  | 2.2749          |
| 2.4           | 1.82  | 648000  | 2.2714          |
| 2.4046        | 1.84  | 656000  | 2.2695          |
| 2.4046        | 1.86  | 664000  | 2.2724          |
| 2.4033        | 1.89  | 672000  | 2.2697          |
| 2.4033        | 1.91  | 680000  | 2.2697          |
| 2.3981        | 1.93  | 688000  | 2.2674          |
| 2.3981        | 1.95  | 696000  | 2.2669          |
| 2.4029        | 1.98  | 704000  | 2.2755          |
| 2.4029        | 2.0   | 712000  | 2.2664          |
| 2.4046        | 2.02  | 720000  | 2.2759          |
| 2.4046        | 2.04  | 728000  | 2.2689          |
| 2.4056        | 2.07  | 736000  | 2.2710          |
| 2.4056        | 2.09  | 744000  | 2.2744          |
| 2.4036        | 2.11  | 752000  | 2.2653          |
| 2.4036        | 2.13  | 760000  | 2.2642          |
| 2.3961        | 2.16  | 768000  | 2.2703          |
| 2.3961        | 2.18  | 776000  | 2.2683          |
| 2.3939        | 2.2   | 784000  | 2.2746          |
| 2.3939        | 2.22  | 792000  | 2.2667          |
| 2.3998        | 2.25  | 800000  | 2.2690          |
| 2.3998        | 2.27  | 808000  | 2.2697          |
| 2.3921        | 2.29  | 816000  | 2.2681          |
| 2.3921        | 2.31  | 824000  | 2.2740          |
| 2.4011        | 2.34  | 832000  | 2.2704          |
| 2.4011        | 2.36  | 840000  | 2.2666          |
| 2.3948        | 2.38  | 848000  | 2.2689          |
| 2.3948        | 2.4   | 856000  | 2.2742          |
| 2.3957        | 2.43  | 864000  | 2.2755          |
| 2.3957        | 2.45  | 872000  | 2.2689          |
| 2.3971        | 2.47  | 880000  | 2.2717          |
| 2.3971        | 2.49  | 888000  | 2.2690          |
| 2.3982        | 2.52  | 896000  | 2.2645          |
| 2.3982        | 2.54  | 904000  | 2.2726          |
| 2.4005        | 2.56  | 912000  | 2.2628          |
| 2.4005        | 2.58  | 920000  | 2.2726          |
| 2.4037        | 2.6   | 928000  | 2.2760          |
| 2.4037        | 2.63  | 936000  | 2.2662          |
| 2.4031        | 2.65  | 944000  | 2.2729          |
| 2.4031        | 2.67  | 952000  | 2.2706          |
| 2.4025        | 2.69  | 960000  | 2.2684          |
| 2.4025        | 2.72  | 968000  | 2.2635          |
| 2.409         | 2.74  | 976000  | 2.2606          |
| 2.409         | 2.76  | 984000  | 2.2664          |
| 2.4085        | 2.78  | 992000  | 2.2647          |
| 2.4085        | 2.81  | 1000000 | 2.2656          |
| 2.3971        | 2.83  | 1008000 | 2.2655          |
| 2.3971        | 2.85  | 1016000 | 2.2681          |
| 2.3946        | 2.87  | 1024000 | 2.2671          |
| 2.3946        | 2.9   | 1032000 | 2.2660          |
| 2.4063        | 2.92  | 1040000 | 2.2697          |
| 2.4063        | 2.94  | 1048000 | 2.2706          |
| 2.399         | 2.96  | 1056000 | 2.2625          |
| 2.399         | 2.99  | 1064000 | 2.2699          |
| 2.4024        | 3.01  | 1072000 | 2.2622          |
| 2.4024        | 3.03  | 1080000 | 2.2695          |
| 2.4035        | 3.05  | 1088000 | 2.2700          |
| 2.4035        | 3.08  | 1096000 | 2.2624          |
| 2.4061        | 3.1   | 1104000 | 2.2690          |
| 2.4061        | 3.12  | 1112000 | 2.2653          |
| 2.4044        | 3.14  | 1120000 | 2.2679          |
| 2.4044        | 3.17  | 1128000 | 2.2658          |
| 2.3996        | 3.19  | 1136000 | 2.2680          |
| 2.3996        | 3.21  | 1144000 | 2.2668          |
| 2.3943        | 3.23  | 1152000 | 2.2689          |
| 2.3943        | 3.26  | 1160000 | 2.2702          |
| 2.3948        | 3.28  | 1168000 | 2.2653          |
| 2.3948        | 3.3   | 1176000 | 2.2621          |
| 2.4047        | 3.32  | 1184000 | 2.2723          |
| 2.4047        | 3.35  | 1192000 | 2.2718          |
| 2.4057        | 3.37  | 1200000 | 2.2668          |
| 2.4057        | 3.39  | 1208000 | 2.2649          |
| 2.3901        | 3.41  | 1216000 | 2.2699          |
| 2.3901        | 3.44  | 1224000 | 2.2683          |
| 2.3942        | 3.46  | 1232000 | 2.2679          |
| 2.3942        | 3.48  | 1240000 | 2.2647          |
| 2.4052        | 3.5   | 1248000 | 2.2656          |
| 2.4052        | 3.53  | 1256000 | 2.2679          |
| 2.401         | 3.55  | 1264000 | 2.2685          |
| 2.401         | 3.57  | 1272000 | 2.2654          |
| 2.4012        | 3.59  | 1280000 | 2.2607          |
| 2.4012        | 3.62  | 1288000 | 2.2668          |
| 2.4015        | 3.64  | 1296000 | 2.2672          |
| 2.4015        | 3.66  | 1304000 | 2.2685          |
| 2.4039        | 3.68  | 1312000 | 2.2675          |
| 2.4039        | 3.71  | 1320000 | 2.2702          |
| 2.3927        | 3.73  | 1328000 | 2.2689          |
| 2.3927        | 3.75  | 1336000 | 2.2674          |
| 2.3998        | 3.77  | 1344000 | 2.2694          |
| 2.3998        | 3.8   | 1352000 | 2.2649          |
| 2.404         | 3.82  | 1360000 | 2.2635          |
| 2.404         | 3.84  | 1368000 | 2.2681          |
| 2.4023        | 3.86  | 1376000 | 2.2601          |
| 2.4023        | 3.88  | 1384000 | 2.2661          |
| 2.393         | 3.91  | 1392000 | 2.2613          |
| 2.393         | 3.93  | 1400000 | 2.2717          |
| 2.402         | 3.95  | 1408000 | 2.2672          |
| 2.402         | 3.97  | 1416000 | 2.2637          |
| 2.4047        | 4.0   | 1424000 | 2.2705          |
| 2.4047        | 4.02  | 1432000 | 2.2682          |
| 2.4045        | 4.04  | 1440000 | 2.2630          |
| 2.4045        | 4.06  | 1448000 | 2.2699          |
| 2.3973        | 4.09  | 1456000 | 2.2579          |
| 2.3973        | 4.11  | 1464000 | 2.2601          |
| 2.399         | 4.13  | 1472000 | 2.2609          |
| 2.399         | 4.15  | 1480000 | 2.2697          |
| 2.399         | 4.18  | 1488000 | 2.2630          |
| 2.399         | 4.2   | 1496000 | 2.2658          |
| 2.3995        | 4.22  | 1504000 | 2.2656          |
| 2.3995        | 4.24  | 1512000 | 2.2689          |
| 2.3929        | 4.27  | 1520000 | 2.2678          |
| 2.3929        | 4.29  | 1528000 | 2.2694          |
| 2.404         | 4.31  | 1536000 | 2.2632          |
| 2.404         | 4.33  | 1544000 | 2.2657          |
| 2.3932        | 4.36  | 1552000 | 2.2642          |
| 2.3932        | 4.38  | 1560000 | 2.2607          |
| 2.3985        | 4.4   | 1568000 | 2.2635          |
| 2.3985        | 4.42  | 1576000 | 2.2645          |
| 2.3997        | 4.45  | 1584000 | 2.2654          |
| 2.3997        | 4.47  | 1592000 | 2.2672          |
| 2.396         | 4.49  | 1600000 | 2.2666          |
| 2.396         | 4.51  | 1608000 | 2.2708          |
| 2.4012        | 4.54  | 1616000 | 2.2707          |
| 2.4012        | 4.56  | 1624000 | 2.2684          |
| 2.4074        | 4.58  | 1632000 | 2.2676          |
| 2.4074        | 4.6   | 1640000 | 2.2658          |
| 2.3965        | 4.63  | 1648000 | 2.2716          |
| 2.3965        | 4.65  | 1656000 | 2.2656          |
| 2.4021        | 4.67  | 1664000 | 2.2690          |
| 2.4021        | 4.69  | 1672000 | 2.2656          |
| 2.3981        | 4.72  | 1680000 | 2.2659          |
| 2.3981        | 4.74  | 1688000 | 2.2667          |
| 2.3974        | 4.76  | 1696000 | 2.2655          |
| 2.3974        | 4.78  | 1704000 | 2.2676          |
| 2.3964        | 4.81  | 1712000 | 2.2655          |
| 2.3964        | 4.83  | 1720000 | 2.2636          |
| 2.3933        | 4.85  | 1728000 | 2.2679          |
| 2.3933        | 4.87  | 1736000 | 2.2667          |
| 2.4066        | 4.9   | 1744000 | 2.2647          |
| 2.4066        | 4.92  | 1752000 | 2.2657          |
| 2.4027        | 4.94  | 1760000 | 2.2628          |
| 2.4027        | 4.96  | 1768000 | 2.2642          |
| 2.4029        | 4.99  | 1776000 | 2.2677          |
| 2.4029        | 5.01  | 1784000 | 2.2704          |
| 2.3958        | 5.03  | 1792000 | 2.2650          |
| 2.3958        | 5.05  | 1800000 | 2.2650          |
| 2.4054        | 5.08  | 1808000 | 2.2680          |
| 2.4054        | 5.1   | 1816000 | 2.2601          |
| 2.3984        | 5.12  | 1824000 | 2.2671          |
| 2.3984        | 5.14  | 1832000 | 2.2639          |
| 2.4005        | 5.16  | 1840000 | 2.2629          |
| 2.4005        | 5.19  | 1848000 | 2.2656          |
| 2.3962        | 5.21  | 1856000 | 2.2646          |
| 2.3962        | 5.23  | 1864000 | 2.2571          |
| 2.4033        | 5.25  | 1872000 | 2.2689          |
| 2.4033        | 5.28  | 1880000 | 2.2632          |
| 2.4064        | 5.3   | 1888000 | 2.2633          |
| 2.4064        | 5.32  | 1896000 | 2.2694          |
| 2.3967        | 5.34  | 1904000 | 2.2685          |
| 2.3967        | 5.37  | 1912000 | 2.2636          |
| 2.4002        | 5.39  | 1920000 | 2.2687          |
| 2.4002        | 5.41  | 1928000 | 2.2632          |
| 2.4045        | 5.43  | 1936000 | 2.2625          |
| 2.4045        | 5.46  | 1944000 | 2.2677          |
| 2.4096        | 5.48  | 1952000 | 2.2563          |
| 2.4096        | 5.5   | 1960000 | 2.2642          |
| 2.4004        | 5.52  | 1968000 | 2.2692          |
| 2.4004        | 5.55  | 1976000 | 2.2696          |
| 2.4065        | 5.57  | 1984000 | 2.2579          |
| 2.4065        | 5.59  | 1992000 | 2.2660          |
| 2.4025        | 5.61  | 2000000 | 2.2654          |
| 2.4025        | 5.64  | 2008000 | 2.2706          |
| 2.3993        | 5.66  | 2016000 | 2.2704          |
| 2.3993        | 5.68  | 2024000 | 2.2664          |
| 2.4034        | 5.7   | 2032000 | 2.2659          |
| 2.4034        | 5.73  | 2040000 | 2.2680          |
| 2.4004        | 5.75  | 2048000 | 2.2611          |
| 2.4004        | 5.77  | 2056000 | 2.2646          |
| 2.4025        | 5.79  | 2064000 | 2.2682          |
| 2.4025        | 5.82  | 2072000 | 2.2646          |
| 2.4063        | 5.84  | 2080000 | 2.2598          |
| 2.4063        | 5.86  | 2088000 | 2.2673          |
| 2.4071        | 5.88  | 2096000 | 2.2646          |
| 2.4071        | 5.91  | 2104000 | 2.2672          |
| 2.401         | 5.93  | 2112000 | 2.2648          |
| 2.401         | 5.95  | 2120000 | 2.2654          |
| 2.402         | 5.97  | 2128000 | 2.2664          |
| 2.402         | 6.0   | 2136000 | 2.2683          |
| 2.4004        | 6.02  | 2144000 | 2.2618          |
| 2.4004        | 6.04  | 2152000 | 2.2669          |
| 2.4001        | 6.06  | 2160000 | 2.2630          |
| 2.4001        | 6.09  | 2168000 | 2.2632          |
| 2.4046        | 6.11  | 2176000 | 2.2696          |
| 2.4046        | 6.13  | 2184000 | 2.2641          |
| 2.405         | 6.15  | 2192000 | 2.2627          |
| 2.405         | 6.18  | 2200000 | 2.2681          |
| 2.4063        | 6.2   | 2208000 | 2.2604          |
| 2.4063        | 6.22  | 2216000 | 2.2715          |
| 2.3991        | 6.24  | 2224000 | 2.2683          |
| 2.3991        | 6.27  | 2232000 | 2.2657          |
| 2.405         | 6.29  | 2240000 | 2.2645          |
| 2.405         | 6.31  | 2248000 | 2.2676          |
| 2.3941        | 6.33  | 2256000 | 2.2706          |
| 2.3941        | 6.36  | 2264000 | 2.2593          |
| 2.4041        | 6.38  | 2272000 | 2.2679          |
| 2.4041        | 6.4   | 2280000 | 2.2643          |
| 2.4001        | 6.42  | 2288000 | 2.2728          |
| 2.4001        | 6.44  | 2296000 | 2.2631          |
| 2.3983        | 6.47  | 2304000 | 2.2636          |
| 2.3983        | 6.49  | 2312000 | 2.2630          |
| 2.4003        | 6.51  | 2320000 | 2.2663          |
| 2.4003        | 6.53  | 2328000 | 2.2647          |
| 2.3981        | 6.56  | 2336000 | 2.2669          |
| 2.3981        | 6.58  | 2344000 | 2.2660          |
| 2.3951        | 6.6   | 2352000 | 2.2692          |
| 2.3951        | 6.62  | 2360000 | 2.2644          |
| 2.4013        | 6.65  | 2368000 | 2.2610          |
| 2.4013        | 6.67  | 2376000 | 2.2655          |
| 2.4           | 6.69  | 2384000 | 2.2592          |
| 2.4           | 6.71  | 2392000 | 2.2666          |
| 2.3975        | 6.74  | 2400000 | 2.2685          |


### Framework versions

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