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bencyc1129/mitre-bert-base-uncased

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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mitre-bert-base-uncased

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1257

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
  • trainbatchsize: 32
  • evalbatchsize: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 100

Training results

Training LossEpochStepValidation Loss
2.03012.7210001.6360
1.44545.4520001.4483
1.22598.1730001.3658
1.081110.940001.2872
0.974413.6250001.2763
0.860116.3560001.2343
0.791819.0770001.1792
0.737521.880001.1792
0.680624.5290001.1332
0.627427.25100001.1129
0.580329.97110001.1239
0.540332.7120001.1224
0.502835.42130001.1344
0.466138.15140001.1215
0.446340.87150001.1453
0.410243.6160001.0828
0.386646.32170001.1044
0.374949.05180001.1199
0.355451.77190001.0722
0.328854.5200001.1167
0.31957.22210001.1110
0.306459.95220001.0821
0.293862.67230001.0702
0.274165.4240001.0373
0.262668.12250001.1236
0.252570.84260001.0831
0.243373.57270001.0691
0.237676.29280001.0647
0.230379.02290001.0851
0.216481.74300001.0864
0.210384.47310001.0502
0.204987.19320001.0644
0.201189.92330001.0262
0.202492.64340001.0738
0.188995.37350001.0640
0.184698.09360001.1257

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2