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SiddharthaM/twitter-data-distilbert-base-uncased-sentiment-finetuned-memes-v2
twitter-data-distilbert-base-uncased-sentiment-finetuned-memes-v2 is a text classification model from SiddharthaM. 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 jayantapaul888/twitter-data-distilbert-base-uncased-sentiment-finetuned-memes on the None dataset. It achieves the following results on the evaluation set:
More information needed
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.859 | 1.0 | 663 | 0.7251 | 0.6635 | 0.6722 | 0.6635 | 0.6620 |
| 0.6619 | 2.0 | 1326 | 0.7307 | 0.6723 | 0.6737 | 0.6723 | 0.6720 |
| 0.5684 | 3.0 | 1989 | 0.8724 | 0.6629 | 0.6645 | 0.6629 | 0.6626 |
| 0.3338 | 4.0 | 2652 | 1.0549 | 0.6551 | 0.6571 | 0.6551 | 0.6548 |
| 0.2512 | 5.0 | 3315 | 1.2275 | 0.6554 | 0.6555 | 0.6554 | 0.6553 |
| 0.1945 | 6.0 | 3978 | 1.3345 | 0.6527 | 0.6528 | 0.6527 | 0.6527 |