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roberta-base-qnli

WillHeld / roberta-base-qnli

Run on huggingface.co
huggingface.co
Total runs: 68
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: September 18 2022
text-classification

Introduction of roberta-base-qnli

Model Details of roberta-base-qnli

roberta-base-qnli

This model is a fine-tuned version of roberta-base on the GLUE QNLI dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2330
  • Accuracy: 0.9154
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: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.06
  • num_epochs: 10.0
Training results
Training Loss Epoch Step Validation Loss Accuracy
0.6919 0.08 500 0.6161 0.7501
0.4801 0.15 1000 0.3524 0.8550
0.4049 0.23 1500 0.3011 0.8742
0.3827 0.31 2000 0.3125 0.8768
0.3445 0.38 2500 0.2916 0.8924
0.3567 0.46 3000 0.2662 0.8991
0.3422 0.53 3500 0.2657 0.8980
0.3257 0.61 4000 0.2830 0.9021
0.3506 0.69 4500 0.2434 0.9063
0.317 0.76 5000 0.2440 0.9052
0.3152 0.84 5500 0.2786 0.9015
0.2966 0.92 6000 0.2599 0.9083
0.298 0.99 6500 0.2617 0.9070
0.2634 1.07 7000 0.2330 0.9154
0.2625 1.15 7500 0.2598 0.9109
0.2596 1.22 8000 0.3616 0.9099
0.2457 1.3 8500 0.2800 0.9096
0.2545 1.37 9000 0.2960 0.9081
0.2535 1.45 9500 0.2389 0.9114
0.2639 1.53 10000 0.3343 0.8913
0.2434 1.6 10500 0.2470 0.9116
0.2613 1.68 11000 0.2949 0.9092
0.2456 1.76 11500 0.2557 0.9163
0.2483 1.83 12000 0.2462 0.9141
0.2524 1.91 12500 0.2453 0.9114
0.2467 1.99 13000 0.2611 0.9162
0.2059 2.06 13500 0.3071 0.9158
0.1968 2.14 14000 0.3205 0.9209
0.1944 2.21 14500 0.3430 0.9145
0.2065 2.29 15000 0.3388 0.9147
0.1992 2.37 15500 0.2569 0.9158
0.1994 2.44 16000 0.3349 0.9109
0.2001 2.52 16500 0.2850 0.9096
0.2014 2.6 17000 0.3214 0.9200
0.2156 2.67 17500 0.3079 0.9134
0.2036 2.75 18000 0.2739 0.9163
0.2118 2.83 18500 0.2790 0.9185
0.2167 2.9 19000 0.2699 0.9167
0.2015 2.98 19500 0.2895 0.9189
0.1649 3.05 20000 0.3719 0.9162
0.1505 3.13 20500 0.3700 0.9132
0.1509 3.21 21000 0.3721 0.9156
0.1517 3.28 21500 0.3566 0.9154
0.1583 3.36 22000 0.3975 0.9140
0.1568 3.44 22500 0.4135 0.9136
0.1642 3.51 23000 0.3705 0.9129
0.1781 3.59 23500 0.3399 0.9156
0.1725 3.67 24000 0.3165 0.9160
0.1675 3.74 24500 0.3279 0.9180
0.165 3.82 25000 0.3424 0.9202
0.1608 3.89 25500 0.4022 0.9138
0.1576 3.97 26000 0.3611 0.9147
0.1382 4.05 26500 0.4001 0.9140
0.1126 4.12 27000 0.4015 0.9169
0.1048 4.2 27500 0.3919 0.9169
0.1057 4.28 28000 0.4072 0.9176
0.1212 4.35 28500 0.3623 0.9162
0.1152 4.43 29000 0.3946 0.9149
0.125 4.51 29500 0.4142 0.9156
0.1195 4.58 30000 0.4095 0.9151
0.1139 4.66 30500 0.4586 0.9088
0.1279 4.73 31000 0.3900 0.9204
0.1306 4.81 31500 0.3741 0.9165
0.1091 4.89 32000 0.4296 0.9207
0.1272 4.96 32500 0.3724 0.9189
0.0906 5.04 33000 0.4512 0.9182
0.0915 5.12 33500 0.4160 0.9220
0.0773 5.19 34000 0.4743 0.9180
0.0861 5.27 34500 0.5024 0.9204
0.0729 5.35 35000 0.4282 0.9204
0.0901 5.42 35500 0.4612 0.9226
0.0856 5.5 36000 0.4495 0.9180
0.0839 5.58 36500 0.4501 0.9206
0.0874 5.65 37000 0.4136 0.9200
0.0944 5.73 37500 0.4629 0.9165
0.0874 5.8 38000 0.4790 0.9160
0.0859 5.88 38500 0.4725 0.9132
0.0808 5.96 39000 0.4613 0.9162
0.0723 6.03 39500 0.4816 0.9195
0.0568 6.11 40000 0.5257 0.9187
0.0628 6.19 40500 0.4516 0.9195
0.053 6.26 41000 0.4929 0.9187
0.0574 6.34 41500 0.4888 0.9191
0.0717 6.42 42000 0.4769 0.9165
0.0622 6.49 42500 0.5082 0.9184
0.0593 6.57 43000 0.4460 0.9211
0.0603 6.64 43500 0.4345 0.9206
0.0659 6.72 44000 0.4423 0.9189
0.0629 6.8 44500 0.4771 0.9191
0.058 6.87 45000 0.4589 0.9228
0.0545 6.95 45500 0.5084 0.9200
0.0465 7.03 46000 0.5422 0.9193
0.0424 7.1 46500 0.5030 0.9202
0.0317 7.18 47000 0.5393 0.9213
0.029 7.26 47500 0.5618 0.9174
0.0439 7.33 48000 0.5000 0.9195
0.0347 7.41 48500 0.5093 0.9200
0.0425 7.48 49000 0.5311 0.9174
0.0384 7.56 49500 0.5010 0.9198
0.039 7.64 50000 0.5182 0.9209
0.04 7.71 50500 0.5238 0.9215
0.0374 7.79 51000 0.5561 0.9218
0.0366 7.87 51500 0.5412 0.9200
0.036 7.94 52000 0.5213 0.9213
0.0348 8.02 52500 0.5140 0.9217
0.0186 8.1 53000 0.5693 0.9240
0.0275 8.17 53500 0.5007 0.9239
0.0219 8.25 54000 0.5400 0.9240
0.0238 8.32 54500 0.5537 0.9228
0.0201 8.4 55000 0.5851 0.9215
0.0253 8.48 55500 0.5654 0.9217
0.0243 8.55 56000 0.5833 0.9213
0.0298 8.63 56500 0.5483 0.9209
0.0232 8.71 57000 0.5724 0.9215
0.0239 8.78 57500 0.5574 0.9195
0.0263 8.86 58000 0.5491 0.9235
0.0333 8.94 58500 0.5322 0.9209
0.0259 9.01 59000 0.5493 0.9217
0.0197 9.09 59500 0.5671 0.9209
0.0237 9.16 60000 0.5536 0.9209
0.022 9.24 60500 0.5523 0.9217
0.0246 9.32 61000 0.5619 0.9220
0.0202 9.39 61500 0.5619 0.9228
0.0184 9.47 62000 0.5729 0.9217
0.0122 9.55 62500 0.5946 0.9202
0.015 9.62 63000 0.6014 0.9215
0.0189 9.7 63500 0.5928 0.9226
0.0194 9.78 64000 0.5898 0.9220
0.0219 9.85 64500 0.5851 0.9218
0.017 9.93 65000 0.5891 0.9218
Framework versions
  • Transformers 4.21.3
  • Pytorch 1.7.1
  • Datasets 1.18.3
  • Tokenizers 0.11.6

Runs of WillHeld roberta-base-qnli on huggingface.co

68
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24-hour runs
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3-day runs
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More Information About roberta-base-qnli huggingface.co Model

More roberta-base-qnli license Visit here:

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roberta-base-qnli huggingface.co

roberta-base-qnli huggingface.co is an AI model on huggingface.co that provides roberta-base-qnli's model effect (), which can be used instantly with this WillHeld roberta-base-qnli model. huggingface.co supports a free trial of the roberta-base-qnli model, and also provides paid use of the roberta-base-qnli. Support call roberta-base-qnli model through api, including Node.js, Python, http.

roberta-base-qnli huggingface.co Url

https://huggingface.co/WillHeld/roberta-base-qnli

WillHeld roberta-base-qnli online free

roberta-base-qnli huggingface.co is an online trial and call api platform, which integrates roberta-base-qnli's modeling effects, including api services, and provides a free online trial of roberta-base-qnli, you can try roberta-base-qnli online for free by clicking the link below.

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https://huggingface.co/WillHeld/roberta-base-qnli

roberta-base-qnli install

roberta-base-qnli is an open source model from GitHub that offers a free installation service, and any user can find roberta-base-qnli on GitHub to install. At the same time, huggingface.co provides the effect of roberta-base-qnli install, users can directly use roberta-base-qnli installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

roberta-base-qnli install url in huggingface.co:

https://huggingface.co/WillHeld/roberta-base-qnli

Url of roberta-base-qnli

roberta-base-qnli huggingface.co Url

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WillHeld
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