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Anwaarma/Improved-MARBERT-twitter-sentiment-Twitter
Improved-MARBERT-twitter-sentiment-Twitter is a text classification model from Anwaarma. 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 UBC-NLP/MARBERTv2 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 | Accuracy |
|---|---|---|---|---|
| 0.5838 | 0.55 | 50 | 0.6058 | 0.71 |
| 0.3547 | 1.1 | 100 | 0.3887 | 0.83 |
| 0.2792 | 1.65 | 150 | 0.3479 | 0.85 |
| 0.1929 | 2.2 | 200 | 0.3596 | 0.87 |
| 0.1725 | 2.75 | 250 | 0.5874 | 0.8 |
| 0.1342 | 3.3 | 300 | 0.6560 | 0.81 |
| 0.1179 | 3.85 | 350 | 0.5146 | 0.85 |
| 0.079 | 4.4 | 400 | 0.6173 | 0.83 |
| 0.0928 | 4.95 | 450 | 0.7558 | 0.81 |
| 0.0425 | 5.49 | 500 | 1.0791 | 0.77 |
| 0.0609 | 6.04 | 550 | 0.7408 | 0.85 |
| 0.0328 | 6.59 | 600 | 0.8294 | 0.82 |
| 0.0531 | 7.14 | 650 | 0.6755 | 0.86 |
| 0.0342 | 7.69 | 700 | 0.6880 | 0.86 |
| 0.0263 | 8.24 | 750 | 0.7326 | 0.86 |
| 0.0147 | 8.79 | 800 | 0.8116 | 0.85 |
| 0.0169 | 9.34 | 850 | 0.8261 | 0.86 |
| 0.0118 | 9.89 | 900 | 0.7473 | 0.88 |
| 0.0087 | 10.44 | 950 | 0.7959 | 0.86 |
| 0.0051 | 10.99 | 1000 | 0.8585 | 0.85 |
| 0.0086 | 11.54 | 1050 | 0.8035 | 0.87 |
| 0.0076 | 12.09 | 1100 | 0.8838 | 0.84 |
| 0.0048 | 12.64 | 1150 | 0.8124 | 0.87 |
| 0.0095 | 13.19 | 1200 | 0.9262 | 0.85 |
| 0.0024 | 13.74 | 1250 | 0.8280 | 0.86 |
| 0.0109 | 14.29 | 1300 | 0.7895 | 0.87 |
| 0.0038 | 14.84 | 1350 | 0.7706 | 0.86 |