diegoale1248 / finetuned-bert-categories-estimation

huggingface.co
Total runs: 42
24-hour runs: 0
7-day runs: 8
30-day runs: 21
Model's Last Updated: February 22 2024
text-classification

Introduction of finetuned-bert-categories-estimation

Model Details of finetuned-bert-categories-estimation

finetuned-bert-categories-estimation

This model is a fine-tuned version of neuralmind/bert-base-portuguese-cased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4080
  • F1: 0.9054
  • Accuracy: 0.9277
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: 5e-05
  • train_batch_size: 32
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
Training results
Training Loss Epoch Step Validation Loss F1 Accuracy
4.3517 0.13 100 3.6120 0.0934 0.3599
3.2593 0.25 200 2.7209 0.1848 0.5085
2.584 0.38 300 2.1874 0.2784 0.5952
2.1208 0.51 400 1.8393 0.3656 0.6504
1.7726 0.63 500 1.5560 0.4633 0.7121
1.5799 0.76 600 1.3686 0.5185 0.7442
1.3384 0.89 700 1.2079 0.5896 0.7759
1.2751 1.01 800 1.0736 0.6044 0.7941
1.0223 1.14 900 0.9892 0.6353 0.8089
0.9095 1.27 1000 0.9277 0.6699 0.8157
0.8496 1.39 1100 0.8370 0.6973 0.8311
0.7735 1.52 1200 0.7878 0.7093 0.8349
0.7058 1.65 1300 0.7299 0.7239 0.8481
0.6545 1.77 1400 0.6823 0.7444 0.8563
0.6652 1.9 1500 0.6623 0.7547 0.8609
0.5905 2.03 1600 0.6079 0.7660 0.8663
0.4679 2.15 1700 0.5910 0.7867 0.8696
0.4415 2.28 1800 0.5668 0.8034 0.8785
0.4377 2.41 1900 0.5580 0.8068 0.8796
0.4262 2.53 2000 0.5366 0.8054 0.8815
0.4272 2.66 2100 0.5094 0.8189 0.8880
0.3979 2.79 2200 0.4966 0.8229 0.8898
0.3763 2.92 2300 0.4838 0.8349 0.8950
0.366 3.04 2400 0.4742 0.8340 0.8950
0.2686 3.17 2500 0.4591 0.8365 0.8966
0.2735 3.3 2600 0.4676 0.8393 0.8958
0.2582 3.42 2700 0.4263 0.8580 0.9025
0.2451 3.55 2800 0.4383 0.8526 0.8988
0.2626 3.68 2900 0.4420 0.8554 0.9018
0.248 3.8 3000 0.4153 0.8658 0.9080
0.2634 3.93 3100 0.4082 0.8666 0.9088
0.2 4.06 3200 0.4162 0.8716 0.9090
0.1717 4.18 3300 0.4032 0.8748 0.9117
0.19 4.31 3400 0.4019 0.8747 0.9117
0.1507 4.44 3500 0.4118 0.8789 0.9139
0.16 4.56 3600 0.4107 0.8815 0.9139
0.1716 4.69 3700 0.4105 0.8826 0.9132
0.1545 4.82 3800 0.3945 0.8850 0.9180
0.1628 4.94 3900 0.3974 0.8907 0.9194
0.1123 5.07 4000 0.4060 0.8828 0.9166
0.0988 5.2 4100 0.4037 0.8847 0.9167
0.1065 5.32 4200 0.3959 0.8895 0.9201
0.1018 5.45 4300 0.4040 0.8875 0.9183
0.1091 5.58 4400 0.4044 0.8908 0.9199
0.1041 5.7 4500 0.3937 0.8943 0.9218
0.1154 5.83 4600 0.3981 0.8956 0.9205
0.0932 5.96 4700 0.3940 0.8967 0.9223
0.0835 6.08 4800 0.3914 0.8967 0.9224
0.065 6.21 4900 0.3905 0.8922 0.9215
0.0634 6.34 5000 0.3999 0.8924 0.9215
0.0618 6.46 5100 0.4013 0.8966 0.9226
0.0678 6.59 5200 0.3985 0.9004 0.9242
0.0666 6.72 5300 0.3892 0.8993 0.9239
0.0564 6.84 5400 0.4026 0.8986 0.9228
0.0704 6.97 5500 0.4011 0.9004 0.9236
0.0508 7.1 5600 0.4035 0.8987 0.9234
0.0395 7.22 5700 0.4131 0.8979 0.9216
0.0363 7.35 5800 0.4112 0.9022 0.9243
0.0443 7.48 5900 0.4079 0.9039 0.9251
0.0383 7.6 6000 0.4152 0.9031 0.9248
0.0384 7.73 6100 0.4075 0.9037 0.9258
0.0414 7.86 6200 0.4087 0.9035 0.9256
0.0449 7.98 6300 0.4066 0.9060 0.9262
0.0246 8.11 6400 0.4091 0.9041 0.9258
0.0275 8.24 6500 0.4085 0.9035 0.9262
0.0256 8.37 6600 0.4077 0.9048 0.9269
0.0307 8.49 6700 0.4040 0.9082 0.9285
0.0294 8.62 6800 0.4057 0.9067 0.9283
0.0226 8.75 6900 0.4069 0.9054 0.9274
0.0218 8.87 7000 0.4090 0.9053 0.9278
0.0333 9.0 7100 0.4053 0.9075 0.9286
0.0182 9.13 7200 0.4071 0.9063 0.9277
0.0176 9.25 7300 0.4058 0.9053 0.9278
0.0187 9.38 7400 0.4074 0.9060 0.9280
0.0185 9.51 7500 0.4069 0.9059 0.9278
0.0135 9.63 7600 0.4067 0.9049 0.9275
0.0118 9.76 7700 0.4076 0.9039 0.9267
0.0163 9.89 7800 0.4081 0.9050 0.9275
Framework versions
  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0

Runs of diegoale1248 finetuned-bert-categories-estimation on huggingface.co

42
Total runs
0
24-hour runs
6
3-day runs
8
7-day runs
21
30-day runs

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