Instructions to use stefan-it/hmbench-ajmc-de-hmbert_tiny-bs4-wsFalse-e10-lr5e-05-poolingfirst-layers-1-crfFalse-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use stefan-it/hmbench-ajmc-de-hmbert_tiny-bs4-wsFalse-e10-lr5e-05-poolingfirst-layers-1-crfFalse-4 with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("stefan-it/hmbench-ajmc-de-hmbert_tiny-bs4-wsFalse-e10-lr5e-05-poolingfirst-layers-1-crfFalse-4") - Notebooks
- Google Colab
- Kaggle
| EPOCH TIMESTAMP LEARNING_RATE TRAIN_LOSS DEV_LOSS DEV_PRECISION DEV_RECALL DEV_F1 DEV_ACCURACY | |
| 1 14:43:35 0.0000 2.2647 0.8980 0.0000 0.0000 0.0000 0.0000 | |
| 2 14:43:39 0.0000 0.7873 0.5883 0.4386 0.0620 0.1087 0.0575 | |
| 3 14:43:44 0.0000 0.5706 0.4012 0.5358 0.3896 0.4511 0.2940 | |
| 4 14:43:49 0.0000 0.4626 0.3537 0.5767 0.5037 0.5377 0.3718 | |
| 5 14:43:53 0.0000 0.4014 0.3084 0.5623 0.5707 0.5665 0.4064 | |
| 6 14:43:58 0.0000 0.3661 0.2963 0.5842 0.5682 0.5761 0.4149 | |
| 7 14:44:02 0.0000 0.3465 0.2792 0.5714 0.6154 0.5926 0.4351 | |
| 8 14:44:07 0.0000 0.3219 0.2702 0.5885 0.6104 0.5993 0.4409 | |
| 9 14:44:12 0.0000 0.3157 0.2670 0.5924 0.6203 0.6061 0.4488 | |
| 10 14:44:16 0.0000 0.3132 0.2650 0.5929 0.6253 0.6087 0.4508 | |