Downloads · 30 days
9
3% of all-time downloads
Niki548/prot_bert-fine-tuned-toxicity_3.1
prot_bert-fine-tuned-toxicity_3.1 is a text classification model from Niki548. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
9
3% of all-time downloads
All-time downloads
302
Public
Parameters
422M
1.7 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors1.7 GB · 100%
From the Hugging Face model README
This model is a fine-tuned version of Rostlab/prot_bert on an unknown 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 | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.6948 | 1.0 | 16 | 0.6957 | 0.5484 | 0.3007 | 0.5484 | 0.3884 |
| 0.6957 | 2.0 | 32 | 0.6965 | 0.5484 | 0.3007 | 0.5484 | 0.3884 |
| 0.6939 | 3.0 | 48 | 0.6989 | 0.5484 | 0.3007 | 0.5484 | 0.3884 |
| 0.6924 | 4.0 | 64 | 0.6977 | 0.5484 | 0.3007 | 0.5484 | 0.3884 |
| 0.6924 | 5.0 | 80 | 0.6976 | 0.5484 | 0.3007 | 0.5484 | 0.3884 |
| 0.6928 | 6.0 | 96 | 0.6984 | 0.5484 | 0.3007 | 0.5484 | 0.3884 |
| 0.6923 | 7.0 | 112 | 0.6976 | 0.5484 | 0.3007 | 0.5484 | 0.3884 |
| 0.6876 | 8.0 | 128 | 0.6981 | 0.5484 | 0.3007 | 0.5484 | 0.3884 |