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A-Asif/results
results is a machine learning model from A-Asif. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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.safetensors4.8 MB · 50%
From the Hugging Face model README
This model is a fine-tuned version of mental/mental-roberta-base 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 |
|---|---|---|---|
| 0.7744 | 1.0 | 1500 | 0.7233 |
| 0.7218 | 2.0 | 3000 | 0.7428 |
| 0.6669 | 3.0 | 4500 | 0.6779 |
| 0.636 | 4.0 | 6000 | 0.6808 |
| 0.6135 | 5.0 | 7500 | 0.6543 |
| 0.5883 | 6.0 | 9000 | 0.6726 |
| 0.5606 | 7.0 | 10500 | 0.6569 |
| 0.5241 | 8.0 | 12000 | 0.6778 |
| 0.5001 | 9.0 | 13500 | 0.7105 |
| 0.469 | 10.0 | 15000 | 0.6990 |
| 0.4412 | 11.0 | 16500 | 0.6955 |
| 0.4026 | 12.0 | 18000 | 0.7050 |
| 0.3648 | 13.0 | 19500 | 0.7286 |
| 0.3203 | 14.0 | 21000 | 0.7616 |
| 0.2927 | 15.0 | 22500 | 0.7478 |
| 0.2477 | 16.0 | 24000 | 0.8421 |
| 0.22 | 17.0 | 25500 | 0.8972 |
| 0.1897 | 18.0 | 27000 | 0.9615 |
| 0.1543 | 19.0 | 28500 | 1.0105 |
| 0.1387 | 20.0 | 30000 | 1.0623 |