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AleRams/test-trainer_2
test-trainer_2 is a text classification model from AleRams. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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.safetensors438 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of bert-base-uncased on the None 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 |
|---|---|---|---|---|
| 0.416 | 0.17 | 30 | 0.0027 | 1.0 |
| 0.0015 | 0.34 | 60 | 0.0006 | 1.0 |
| 0.0006 | 0.51 | 90 | 0.0004 | 1.0 |
| 0.0005 | 0.69 | 120 | 0.0003 | 1.0 |
| 0.0004 | 0.86 | 150 | 0.0003 | 1.0 |
| 0.0003 | 1.03 | 180 | 0.0002 | 1.0 |
| 0.0003 | 1.2 | 210 | 0.0002 | 1.0 |
| 0.0002 | 1.37 | 240 | 0.0002 | 1.0 |
| 0.0002 | 1.54 | 270 | 0.0002 | 1.0 |
| 0.0002 | 1.71 | 300 | 0.0001 | 1.0 |
| 0.0002 | 1.89 | 330 | 0.0001 | 1.0 |
| 0.0002 | 2.06 | 360 | 0.0001 | 1.0 |
| 0.0002 | 2.23 | 390 | 0.0001 | 1.0 |
| 0.0002 | 2.4 | 420 | 0.0001 | 1.0 |
| 0.0001 | 2.57 | 450 | 0.0001 | 1.0 |
| 0.0001 | 2.74 | 480 | 0.0001 | 1.0 |
| 0.0001 | 2.91 | 510 | 0.0001 | 1.0 |