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tjasad/fine_tuned_boolq_googlemt_sloberta
fine_tuned_boolq_googlemt_sloberta is a text classification model from tjasad. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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.safetensors443 MB · 99%
From the Hugging Face model README
This model is a fine-tuned version of EMBEDDIA/sloberta 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 | F1 |
|---|---|---|---|---|---|
| 0.6784 | 0.0424 | 50 | 0.6646 | 0.6217 | 0.4767 |
| 0.6768 | 0.0848 | 100 | 0.6692 | 0.6217 | 0.4767 |
| 0.6872 | 0.1272 | 150 | 0.6740 | 0.6217 | 0.4767 |
| 0.6597 | 0.1696 | 200 | 0.6676 | 0.6217 | 0.4767 |
| 0.664 | 0.2120 | 250 | 0.6641 | 0.6217 | 0.4767 |
| 0.654 | 0.2545 | 300 | 0.6656 | 0.6217 | 0.4767 |
| 0.6709 | 0.2969 | 350 | 0.6621 | 0.6217 | 0.4767 |
| 0.6815 | 0.3393 | 400 | 0.6620 | 0.6217 | 0.4767 |