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gokuls/distilbert_add_GLUE_Experiment_wnli_256
distilbert_add_GLUE_Experiment_wnli_256 is a text classification model from gokuls. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
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From the Hugging Face model README
This model is a fine-tuned version of distilbert-base-uncased on the GLUE WNLI 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 |
|---|---|---|---|---|
| 0.6971 | 1.0 | 3 | 0.6958 | 0.4366 |
| 0.6982 | 2.0 | 6 | 0.6966 | 0.4366 |
| 0.6908 | 3.0 | 9 | 0.6871 | 0.5634 |
| 0.6934 | 4.0 | 12 | 0.6858 | 0.5634 |
| 0.6949 | 5.0 | 15 | 0.6897 | 0.5634 |
| 0.694 | 6.0 | 18 | 0.6975 | 0.4366 |
| 0.6947 | 7.0 | 21 | 0.6982 | 0.4366 |
| 0.6974 | 8.0 | 24 | 0.6956 | 0.4366 |
| 0.6959 | 9.0 | 27 | 0.6908 | 0.5634 |