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umangsharmacs/T5_256tokens_gossip
T5_256tokens_gossip is a text classification model from umangsharmacs. 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 t5-base on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
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More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.2489 | 1.0 | 1590 | 0.3115 | 0.8994 | 0.8878 | 0.8815 | 0.8994 |
| 0.0452 | 2.0 | 3180 | 0.3244 | 0.9201 | 0.9009 | 0.9103 | 0.9201 |
| 0.0508 | 3.0 | 4770 | 0.4210 | 0.9107 | 0.9039 | 0.9001 | 0.9107 |
| 0.0269 | 4.0 | 6360 | 0.4959 | 0.9113 | 0.9013 | 0.8974 | 0.9113 |
| 0.1621 | 5.0 | 7950 | 0.6024 | 0.9057 | 0.9000 | 0.8962 | 0.9057 |