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Anwaarma/Improved-MARBERT-twitter-sentiment-nodroput-Twitter
Improved-MARBERT-twitter-sentiment-nodroput-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. --
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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 | 0.3875 | 0.84 |
| 0.2735 | 1.65 | 150 | 0.3429 | 0.87 |
| 0.1925 | 2.2 | 200 | 0.3658 | 0.87 |
| 0.1676 | 2.75 | 250 | 0.5335 | 0.83 |
| 0.1366 | 3.3 | 300 | 0.5710 | 0.81 |
| 0.1202 | 3.85 | 350 | 0.5037 | 0.84 |
| 0.0843 | 4.4 | 400 | 0.5798 | 0.83 |
| 0.086 | 4.95 | 450 | 0.9457 | 0.79 |
| 0.0589 | 5.49 | 500 | 1.1547 | 0.76 |
| 0.0599 | 6.04 | 550 | 0.8437 | 0.83 |
| 0.036 | 6.59 | 600 | 0.9878 | 0.78 |
| 0.0557 | 7.14 | 650 | 0.7223 | 0.86 |
| 0.041 | 7.69 | 700 | 0.7275 | 0.85 |
| 0.0256 | 8.24 | 750 | 0.7327 | 0.85 |
| 0.0273 | 8.79 | 800 | 0.7270 | 0.84 |
| 0.0165 | 9.34 | 850 | 0.8266 | 0.85 |
| 0.0154 | 9.89 | 900 | 0.7583 | 0.87 |
| 0.0075 | 10.44 | 950 | 0.8894 | 0.85 |
| 0.0073 | 10.99 | 1000 | 0.8858 | 0.85 |
| 0.0126 | 11.54 | 1050 | 0.9245 | 0.84 |
| 0.0047 | 12.09 | 1100 | 0.9335 | 0.84 |
| 0.0073 | 12.64 | 1150 | 0.9405 | 0.85 |
| 0.0112 | 13.19 | 1200 | 0.9801 | 0.84 |
| 0.0068 | 13.74 | 1250 | 0.9314 | 0.85 |