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AntoineD/camembert_ccnet_classification_tools_NEFTune_fr_lr1e-3_V2
camembert_ccnet_classification_tools_NEFTune_fr_lr1e-3_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. --
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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 |
|---|---|---|---|---|---|
| 2.1119 | 1.0 | 15 | 2.1246 | 0.1042 | 0.0010 |
| 2.0909 | 2.0 | 30 | 2.1521 | 0.0938 | 0.0010 |
| 2.1043 | 3.0 | 45 | 2.0959 | 0.0938 | 0.0009 |
| 2.0866 | 4.0 | 60 | 2.1143 | 0.0938 | 0.0009 |
| 2.0746 | 5.0 | 75 | 2.1063 | 0.1354 | 0.0009 |
| 2.0753 | 6.0 | 90 | 2.1266 | 0.0938 | 0.0009 |
| 2.0793 | 7.0 | 105 | 2.1177 | 0.1146 | 0.0009 |
| 2.0844 | 8.0 | 120 | 2.0959 | 0.1354 | 0.0009 |
| 2.0855 | 9.0 | 135 | 2.1072 | 0.0938 | 0.0008 |
| 2.0805 | 10.0 | 150 | 2.1128 | 0.0938 | 0.0008 |
| 2.079 | 11.0 | 165 | 2.1027 | 0.1354 | 0.0008 |
| 2.0855 | 12.0 | 180 | 2.1164 | 0.0938 | 0.0008 |
| 2.0745 | 13.0 | 195 | 2.0965 | 0.1042 | 0.0008 |