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ThuyNT03/SOMD-train-bert-v1
SOMD-train-bert-v1 is a token classification model from ThuyNT03. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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.safetensors431 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of google-bert/bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 1243 | 0.0183 | 0.3245 |
| No log | 2.0 | 2486 | 0.0118 | 0.4825 |
| No log | 3.0 | 3729 | 0.0103 | 0.5138 |
| No log | 4.0 | 4972 | 0.0085 | 0.5191 |
| No log | 5.0 | 6215 | 0.0064 | 0.6228 |
| No log | 6.0 | 7458 | 0.0053 | 0.6666 |
| No log | 7.0 | 8701 | 0.0046 | 0.6844 |
| No log | 8.0 | 9944 | 0.0043 | 0.7041 |
| No log | 9.0 | 11187 | 0.0036 | 0.7175 |
| No log | 10.0 | 12430 | 0.0029 | 0.7732 |
| No log | 11.0 | 13673 | 0.0022 | 0.8057 |
| No log | 12.0 | 14916 | 0.0027 | 0.7894 |
| No log | 13.0 | 16159 | 0.0015 | 0.8652 |
| No log | 14.0 | 17402 | 0.0016 | 0.8579 |
| No log | 15.0 | 18645 | 0.0012 | 0.8958 |
| No log | 16.0 | 19888 | 0.0009 | 0.9167 |
| No log | 17.0 | 21131 | 0.0008 | 0.9395 |
| No log | 18.0 | 22374 | 0.0006 | 0.9535 |
| No log | 19.0 | 23617 | 0.0004 | 0.9607 |
| No log | 20.0 | 24860 | 0.0003 | 0.9712 |
| No log | 21.0 | 26103 | 0.0003 | 0.9794 |
| No log | 22.0 | 27346 | 0.0002 | 0.9858 |
| No log | 23.0 | 28589 | 0.0002 | 0.9888 |
| No log | 24.0 | 29832 | 0.0001 | 0.9898 |
| No log | 25.0 | 31075 | 0.0001 | 0.9914 |