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ICT2214Team7/RoBERTa_Combined_Generated_epoch_6
RoBERTa_Combined_Generated_epoch_6 is a token classification model from ICT2214Team7. 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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From the Hugging Face model README
This model is a fine-tuned version of ICT2214Team7/RoBERTa_Test_Training on an unknown dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 200 | 0.0052 | 0.9759 | 0.9858 | 0.9808 | 0.9984 |
| No log | 2.0 | 400 | 0.0028 | 0.9939 | 0.9939 | 0.9939 | 0.9993 |
| 0.073 | 3.0 | 600 | 0.0020 | 0.9939 | 0.9939 | 0.9939 | 0.9993 |
| 0.073 | 4.0 | 800 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0027 | 5.0 | 1000 | 0.0010 | 0.9980 | 0.9980 | 0.9980 | 0.9996 |
| 0.0027 | 6.0 | 1200 | 0.0005 | 0.9960 | 0.9980 | 0.9970 | 0.9998 |