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damand2061/innermore-x-indobertweet-base-uncased
innermore-x-indobertweet-base-uncased is a token classification model from damand2061. 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.
This model is a fine-tuned version of indolem/indobertweet-base-uncased on Innermore-X dataset, an Indonesian NER Movie Reviews on X (Twitter). It achieves the following results on the evaluation set: - Train Loss: 0.…
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From the Hugging Face model README
This model is a fine-tuned version of indolem/indobertweet-base-uncased on Innermore-X dataset, an Indonesian NER Movie Reviews on X (Twitter). It achieves the following results on the evaluation set:
This model is a fine-tuned version of indolem/indobertweet-base-uncased on Innermore-X dataset, an Indonesian NER Movie Reviews on X (Twitter).
More information needed
More information needed
The following hyperparameters were used during training:
| Train Loss | Validation Loss | Validation Precision | Validation Recall | Validation F1 | Validation Accuracy | Epoch |
|---|---|---|---|---|---|---|
| 0.8107 | 0.5161 | 0.1270 | 0.1348 | 0.1308 | 0.8446 | 0 |
| 0.4721 | 0.3254 | 0.3232 | 0.2304 | 0.2690 | 0.9003 | 1 |
| 0.3198 | 0.2431 | 0.4776 | 0.5087 | 0.4926 | 0.9211 | 2 |
| 0.1784 | 0.1581 | 0.6741 | 0.6565 | 0.6652 | 0.9497 | 3 |
| 0.1177 | 0.1304 | 0.7890 | 0.7478 | 0.7679 | 0.9627 | 4 |
| 0.0666 | 0.1428 | 0.7545 | 0.7348 | 0.7445 | 0.9598 | 5 |
| 0.0499 | 0.1526 | 0.7456 | 0.7391 | 0.7424 | 0.9584 | 6 |
| 0.0339 | 0.1677 | 0.7945 | 0.7565 | 0.7751 | 0.9627 | 7 |
| 0.0261 | 0.1598 | 0.6996 | 0.7087 | 0.7041 | 0.9540 | 8 |
| 0.0178 | 0.1792 | 0.7668 | 0.7435 | 0.7550 | 0.9598 | 9 |
| 0.0127 | 0.1943 | 0.8186 | 0.7261 | 0.7696 | 0.9593 | 10 |
| 0.0102 | 0.1825 | 0.7890 | 0.7478 | 0.7679 | 0.9598 | 11 |
| 0.0083 | 0.1765 | 0.8102 | 0.7609 | 0.7848 | 0.9622 | 12 |
| 0.0062 | 0.1778 | 0.8018 | 0.7565 | 0.7785 | 0.9618 | 13 |
| 0.0062 | 0.1791 | 0.8073 | 0.7652 | 0.7857 | 0.9622 | 14 |