Downloads · 30 days
5
24% of all-time downloads
rohanphadke/bert-finetune-test
bert-finetune-test is a text classification model from rohanphadke. 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. --
Downloads · 30 days
5
24% of all-time downloads
All-time downloads
21
Public
Parameters
108M
433 MB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors433 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of 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 | Precision | Recall | F1 | Roc Auc | Krippendorff Alpha |
|---|---|---|---|---|---|---|---|---|
| 0.3425 | 1.0 | 247 | 0.3340 | 0.8489 | 0.7859 | 0.8162 | 0.9439 | 0.7187 |
| 0.2554 | 2.0 | 494 | 0.2263 | 0.8225 | 0.9183 | 0.8678 | 0.9651 | 0.7865 |
| 0.2351 | 3.0 | 741 | 0.1885 | 0.9087 | 0.8789 | 0.8936 | 0.9765 | 0.8352 |
| 0.1724 | 4.0 | 988 | 0.1892 | 0.9124 | 0.8798 | 0.8958 | 0.9773 | 0.8388 |