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eysharaazia/sentiment_bert
sentiment_bert is a text classification model from eysharaazia. Use it when you need a label for a piece of text. 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 google-bert/bert-base-multilingual-uncased 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 | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.7975 | 1.0 | 94 | 0.9153 | 0.4158 | 0.4603 | 0.5512 | 0.5862 |
| 0.7765 | 2.0 | 188 | 0.8220 | 0.6583 | 0.6023 | 0.5894 | 0.6461 |
| 0.71 | 3.0 | 282 | 0.8345 | 0.6062 | 0.5908 | 0.5955 | 0.6858 |
| 0.6439 | 4.0 | 376 | 0.7753 | 0.6568 | 0.6241 | 0.6133 | 0.7010 |
| 0.6623 | 5.0 | 470 | 0.7469 | 0.6802 | 0.6332 | 0.6152 | 0.6942 |