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Shiko07/twitter-xlm-roberta-base-sentiment
twitter-xlm-roberta-base-sentiment is a text classification model from Shiko07. 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. --
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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 |
|---|---|---|---|---|
| 0.7639 | 1.0 | 500 | 0.7273 | 0.7639 |
| 0.6884 | 2.0 | 1000 | 0.6900 | 0.7580 |
| 0.6088 | 3.0 | 1500 | 0.6716 | 0.7078 |
| 0.4964 | 4.0 | 2000 | 0.6728 | 0.6826 |
| 0.3749 | 5.0 | 2500 | 0.8286 | 0.6753 |
| 0.2813 | 6.0 | 3000 | 0.9432 | 0.6968 |
| 0.2173 | 7.0 | 3500 | 1.2781 | 0.7235 |
| 0.1764 | 8.0 | 4000 | 1.3567 | 0.7221 |
| 0.122 | 9.0 | 4500 | 1.5207 | 0.7004 |
| 0.0946 | 10.0 | 5000 | 1.5687 | 0.6996 |