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gokuls/distilbert_sa_GLUE_Experiment_rte
distilbert_sa_GLUE_Experiment_rte 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. --
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From the Hugging Face model README
This model is a fine-tuned version of distilbert-base-uncased on the GLUE RTE 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 |
|---|---|---|---|---|
| 0.7912 | 1.0 | 10 | 0.7427 | 0.4729 |
| 0.7025 | 2.0 | 20 | 0.7159 | 0.4729 |
| 0.6982 | 3.0 | 30 | 0.7001 | 0.4729 |
| 0.696 | 4.0 | 40 | 0.7030 | 0.4729 |
| 0.6929 | 5.0 | 50 | 0.6960 | 0.4693 |
| 0.6684 | 6.0 | 60 | 0.7082 | 0.5018 |
| 0.5463 | 7.0 | 70 | 1.0469 | 0.4838 |
| 0.3935 | 8.0 | 80 | 1.0870 | 0.5271 |
| 0.277 | 9.0 | 90 | 1.2738 | 0.4982 |
| 0.1839 | 10.0 | 100 | 1.5369 | 0.5162 |