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gokuls/distilbert_sa_GLUE_Experiment_sst2
distilbert_sa_GLUE_Experiment_sst2 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 SST2 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 |
|---|---|---|---|---|
| 0.4404 | 1.0 | 264 | 0.5503 | 0.7477 |
| 0.2565 | 2.0 | 528 | 0.6115 | 0.7580 |
| 0.2067 | 3.0 | 792 | 0.4455 | 0.8073 |
| 0.1714 | 4.0 | 1056 | 0.5150 | 0.7947 |
| 0.1438 | 5.0 | 1320 | 0.5712 | 0.7867 |
| 0.1162 | 6.0 | 1584 | 0.6657 | 0.7878 |
| 0.0992 | 7.0 | 1848 | 0.6404 | 0.7821 |
| 0.08 | 8.0 | 2112 | 0.7414 | 0.7924 |