tmp6tsjsfbf
This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0178
- Train Sparse Categorical Accuracy: 0.9962
- Epoch: 49
Model description
This model classifies the title of a content (e.g., YouTube video, article, or podcast episode) into 1 of 8 subjects
- art
- personal development
- world
- health
- science
- business
- humanities
- technology.
This model is used to support Sanderling
Intended uses & limitations
More information needed
Training and evaluation data
We used 1.5k labeled titles to train the model. Majority of the training dataset are English titles. The rest are Chinese titles.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'Adam', 'learning_rate': 5e-06, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
Train Loss | Train Sparse Categorical Accuracy | Epoch |
---|---|---|
1.8005 | 0.3956 | 0 |
1.3302 | 0.5916 | 1 |
0.8998 | 0.7575 | 2 |
0.6268 | 0.8468 | 3 |
0.4239 | 0.9062 | 4 |
0.2982 | 0.9414 | 5 |
0.2245 | 0.9625 | 6 |
0.1678 | 0.9730 | 7 |
0.1399 | 0.9745 | 8 |
0.1059 | 0.9827 | 9 |
0.0822 | 0.9850 | 10 |
0.0601 | 0.9902 | 11 |
0.0481 | 0.9932 | 12 |
0.0386 | 0.9955 | 13 |
0.0292 | 0.9977 | 14 |
0.0353 | 0.9940 | 15 |
0.0336 | 0.9932 | 16 |
0.0345 | 0.9910 | 17 |
0.0179 | 0.9985 | 18 |
0.0150 | 0.9985 | 19 |
0.0365 | 0.9895 | 20 |
0.0431 | 0.9895 | 21 |
0.0243 | 0.9955 | 22 |
0.0317 | 0.9925 | 23 |
0.0375 | 0.9902 | 24 |
0.0138 | 0.9970 | 25 |
0.0159 | 0.9977 | 26 |
0.0160 | 0.9962 | 27 |
0.0151 | 0.9977 | 28 |
0.0337 | 0.9902 | 29 |
0.0119 | 0.9977 | 30 |
0.0165 | 0.9955 | 31 |
0.0133 | 0.9977 | 32 |
0.0047 | 1.0 | 33 |
0.0037 | 1.0 | 34 |
0.0033 | 1.0 | 35 |
0.0031 | 1.0 | 36 |
0.0036 | 1.0 | 37 |
0.0343 | 0.9887 | 38 |
0.0234 | 0.9962 | 39 |
0.0034 | 1.0 | 40 |
0.0036 | 1.0 | 41 |
0.0261 | 0.9917 | 42 |
0.0111 | 0.9970 | 43 |
0.0039 | 1.0 | 44 |
0.0214 | 0.9932 | 45 |
0.0044 | 0.9985 | 46 |
0.0122 | 0.9985 | 47 |
0.0119 | 0.9962 | 48 |
0.0178 | 0.9962 | 49 |
Framework versions
- Transformers 4.15.0
- TensorFlow 2.7.0
- Tokenizers 0.10.3
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