Instructions to use stefan-it/hmbench-ajmc-en-hmbert_tiny-bs8-wsFalse-e10-lr5e-05-poolingfirst-layers-1-crfFalse-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use stefan-it/hmbench-ajmc-en-hmbert_tiny-bs8-wsFalse-e10-lr5e-05-poolingfirst-layers-1-crfFalse-5 with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("stefan-it/hmbench-ajmc-en-hmbert_tiny-bs8-wsFalse-e10-lr5e-05-poolingfirst-layers-1-crfFalse-5") - Notebooks
- Google Colab
- Kaggle
| EPOCH TIMESTAMP LEARNING_RATE TRAIN_LOSS DEV_LOSS DEV_PRECISION DEV_RECALL DEV_F1 DEV_ACCURACY | |
| 1 16:15:09 0.0000 2.3180 0.7997 0.0000 0.0000 0.0000 0.0000 | |
| 2 16:15:13 0.0000 0.6620 0.4673 0.0826 0.0216 0.0343 0.0175 | |
| 3 16:15:17 0.0000 0.4552 0.3661 0.3360 0.3077 0.3212 0.1969 | |
| 4 16:15:21 0.0000 0.3841 0.3238 0.3830 0.4327 0.4063 0.2628 | |
| 5 16:15:25 0.0000 0.3425 0.3002 0.3848 0.4615 0.4197 0.2763 | |
| 6 16:15:29 0.0000 0.3219 0.2840 0.4154 0.5072 0.4567 0.3085 | |
| 7 16:15:33 0.0000 0.2960 0.2767 0.4122 0.5024 0.4529 0.3078 | |
| 8 16:15:37 0.0000 0.2844 0.2719 0.4251 0.5120 0.4646 0.3179 | |
| 9 16:15:41 0.0000 0.2756 0.2652 0.4252 0.5192 0.4675 0.3214 | |
| 10 16:15:45 0.0000 0.2763 0.2642 0.4289 0.5216 0.4707 0.3234 | |