distilhubert-finetuned-minds14

This model is a fine-tuned version of ntu-spml/distilhubert on the MINDS14 dataset. It achieves the following results on the evaluation set:

  • Loss: 3.4050
  • Accuracy: 0.5263

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: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 50
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
2.6434 1.0 253 2.6398 0.0702
2.5451 2.0 506 2.6434 0.0877
2.5303 3.0 759 2.6009 0.0702
2.5841 4.0 1012 2.5143 0.1053
2.1201 5.0 1265 2.3397 0.1579
1.6421 6.0 1518 2.1145 0.3509
1.5245 7.0 1771 1.9039 0.4386
1.1713 8.0 2024 1.6985 0.3684
1.1484 9.0 2277 1.5798 0.5088
0.6891 10.0 2530 1.7365 0.4912
0.3124 11.0 2783 1.8768 0.4561
0.077 12.0 3036 2.2095 0.4386
0.0167 13.0 3289 2.3894 0.4912
0.1748 14.0 3542 2.1305 0.5789
0.0366 15.0 3795 2.2102 0.5614
0.0021 16.0 4048 2.2237 0.5614
0.0012 17.0 4301 2.3768 0.5263
0.0009 18.0 4554 2.6185 0.4912
0.0006 19.0 4807 2.5854 0.5263
0.0005 20.0 5060 2.6191 0.5965
0.0004 21.0 5313 2.6767 0.5789
0.0004 22.0 5566 2.7203 0.5965
0.0003 23.0 5819 2.6451 0.5965
0.0003 24.0 6072 2.6883 0.5965
0.0002 25.0 6325 2.7872 0.5789
0.0002 26.0 6578 2.8503 0.5789
0.0002 27.0 6831 2.8895 0.5789
0.0001 28.0 7084 2.8882 0.5789
0.0001 29.0 7337 2.8726 0.5439
0.0001 30.0 7590 2.8971 0.5614
0.0001 31.0 7843 2.9427 0.5614
0.0001 32.0 8096 3.0154 0.5439
0.0001 33.0 8349 3.0109 0.5439
0.0001 34.0 8602 3.0281 0.5439
0.0001 35.0 8855 3.0510 0.5439
0.0001 36.0 9108 3.1110 0.5439
0.0001 37.0 9361 3.1634 0.5439
0.0 38.0 9614 3.1704 0.5263
0.0 39.0 9867 3.2145 0.5263
0.0 40.0 10120 3.2405 0.5439
0.0 41.0 10373 3.2725 0.5263
0.0 42.0 10626 3.2861 0.5263
0.0 43.0 10879 3.3515 0.5263
0.0 44.0 11132 3.3364 0.5263
0.0 45.0 11385 3.3570 0.5263
0.0 46.0 11638 3.3776 0.5263
0.0 47.0 11891 3.3857 0.5263
0.0 48.0 12144 3.3985 0.5263
0.0 49.0 12397 3.4012 0.5263
0.0 50.0 12650 3.4050 0.5263

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0
Downloads last month
19
Safetensors
Model size
23.7M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for Teapack1/distilhubert-finetuned-Minds14

Finetuned
(409)
this model

Dataset used to train Teapack1/distilhubert-finetuned-Minds14

Evaluation results