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tlam25/besstie_sarcasm_bart_finetune_lora_5runs
besstie_sarcasm_bart_finetune_lora_5runs is a machine learning model from tlam25. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Best checkpoint from 15 runs on BESSTIE Sarcasm. Best (topic, seed) selected by val F1 macro: - topic = en-AUReddit - seed = 999 - val F1 macro = 72.78
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From the Hugging Face model README
Best checkpoint from 15 runs on BESSTIE Sarcasm.
Best (topic, seed) selected by val F1 macro:
| Group | Accuracy | P (macro) | R (macro) | F1 (macro) | P (sarcastic) | R (sarcastic) | F1 (sarcastic) |
|---|---|---|---|---|---|---|---|
| en-AU_Reddit | 73.69 ± 0.47 | 73.38 ± 0.80 | 71.95 ± 0.46 | 72.28 ± 0.42 | 72.01 ± 2.31 | 61.19 ± 3.24 | 66.07 ± 1.07 |
| en-IN_Reddit | 86.52 ± 0.00 | 43.26 ± 0.00 | 50.00 ± 0.00 | 46.39 ± 0.00 | 0.00 ± 0.00 | 0.00 ± 0.00 | 0.00 ± 0.00 |
| en-UK_Reddit | 78.01 ± 0.00 | 39.01 ± 0.00 | 50.00 ± 0.00 | 43.82 ± 0.00 | 0.00 ± 0.00 | 0.00 ± 0.00 | 0.00 ± 0.00 |
| ALL Sarcasm (combined) | 79.41 ± 5.52 | 51.88 ± 15.84 | 57.32 ± 10.71 | 54.16 ± 13.31 | 24.00 ± 35.16 | 20.40 ± 29.91 | 22.02 ± 32.24 |
Aggregations:
Topics: ['en-AU_Reddit', 'en-IN_Reddit', 'en-UK_Reddit'] Seeds: [2025, 42, 123, 7, 999]