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Mrredborne/twitter-xlm-roberta-base-sentiment
twitter-xlm-roberta-base-sentiment is a text classification model from Mrredborne. 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. --
Downloads · 30 days
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From the Hugging Face model README
This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base-sentiment on an unknown 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 | Rmse |
|---|---|---|---|---|
| 0.7384 | 1.0 | 500 | 0.7162 | 0.7593 |
| 0.6322 | 2.0 | 1000 | 0.6433 | 0.7228 |
| 0.541 | 3.0 | 1500 | 0.6295 | 0.7173 |
| 0.4118 | 4.0 | 2000 | 0.7930 | 0.6804 |
| 0.2949 | 5.0 | 2500 | 0.8727 | 0.6756 |
| 0.2109 | 6.0 | 3000 | 1.2173 | 0.7211 |
| 0.1558 | 7.0 | 3500 | 1.5233 | 0.7249 |
| 0.1077 | 8.0 | 4000 | 1.6957 | 0.7162 |
| 0.0767 | 9.0 | 4500 | 1.8504 | 0.6982 |
| 0.0534 | 10.0 | 5000 | 1.9203 | 0.7068 |