Downloads · 30 days
15
24% of all-time downloads
AntoineD/camembert_ccnet_classification_tools_NEFTune_fr_V2
camembert_ccnet_classification_tools_NEFTune_fr_V2 is a text classification model from AntoineD. 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
15
24% of all-time downloads
All-time downloads
63
Public
Repo size
2.2 GB
Likes
0
Public
Click a slice to open those files.
.bin443 MB · 99%
From the Hugging Face model README
This model is a fine-tuned version of camembert/camembert-base-ccnet 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 | Rate |
|---|---|---|---|---|---|
| 1.802 | 1.0 | 15 | 1.3063 | 0.7708 | 0.0001 |
| 0.9616 | 2.0 | 30 | 0.7143 | 0.8438 | 0.0001 |
| 0.4359 | 3.0 | 45 | 0.3769 | 0.9271 | 0.0001 |
| 0.2292 | 4.0 | 60 | 0.3546 | 0.9167 | 0.0001 |
| 0.1448 | 5.0 | 75 | 0.2678 | 0.9479 | 0.0001 |
| 0.095 | 6.0 | 90 | 0.4425 | 0.9062 | 9e-05 |
| 0.0762 | 7.0 | 105 | 0.3686 | 0.9062 | 0.0001 |
| 0.0817 | 8.0 | 120 | 0.4784 | 0.9062 | 0.0001 |
| 0.0506 | 9.0 | 135 | 0.4753 | 0.8958 | 0.0001 |
| 0.0245 | 10.0 | 150 | 0.3736 | 0.9167 | 0.0001 |
| 0.0347 | 11.0 | 165 | 0.5036 | 0.9062 | 0.0001 |
| 0.0141 | 12.0 | 180 | 0.4478 | 0.9167 | 8e-05 |
| 0.0196 | 13.0 | 195 | 0.4295 | 0.9167 | 0.0001 |
| 0.009 | 14.0 | 210 | 0.3942 | 0.9167 | 0.0001 |
| 0.0076 | 15.0 | 225 | 0.5108 | 0.9062 | 0.0001 |