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fine_tuned_rte_sloberta

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fine_tuned_rte_sloberta

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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. runs/May22_19-09-21_DESKTOP-22QTFDR/events.out.tfevents.1716397762.DESKTOP-22QTFDR.20444.4 +3 -0
  4. runs/May22_19-09-21_DESKTOP-22QTFDR/events.out.tfevents.1716397842.DESKTOP-22QTFDR.20444.5 +3 -0
  5. runs/May22_19-11-06_DESKTOP-22QTFDR/events.out.tfevents.1716397867.DESKTOP-22QTFDR.20444.6 +3 -0
  6. runs/May22_19-11-06_DESKTOP-22QTFDR/events.out.tfevents.1716397947.DESKTOP-22QTFDR.20444.7 +3 -0
  7. training_args.bin +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [EMBEDDIA/sloberta](https://huggingface.co/EMBEDDIA/sloberta) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6850
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  - Accuracy: 0.6207
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- - F1: 0.5066
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  ## Model description
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@@ -51,14 +51,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
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- | 0.6987 | 1.7241 | 50 | 0.7395 | 0.4138 | 0.2422 |
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- | 0.7063 | 3.4483 | 100 | 0.6910 | 0.5862 | 0.4333 |
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- | 0.6983 | 5.1724 | 150 | 0.6998 | 0.4138 | 0.2422 |
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- | 0.7018 | 6.8966 | 200 | 0.6795 | 0.5862 | 0.4333 |
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- | 0.7001 | 8.6207 | 250 | 0.6774 | 0.5862 | 0.4333 |
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- | 0.6889 | 10.3448 | 300 | 0.6929 | 0.5517 | 0.5215 |
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- | 0.6796 | 12.0690 | 350 | 0.6851 | 0.5862 | 0.4333 |
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- | 0.6675 | 13.7931 | 400 | 0.6850 | 0.6207 | 0.5066 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [EMBEDDIA/sloberta](https://huggingface.co/EMBEDDIA/sloberta) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6653
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  - Accuracy: 0.6207
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+ - F1: 0.5750
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
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+ | 0.6985 | 1.7241 | 50 | 0.7540 | 0.4138 | 0.2422 |
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+ | 0.7058 | 3.4483 | 100 | 0.6912 | 0.5862 | 0.4333 |
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+ | 0.6993 | 5.1724 | 150 | 0.6980 | 0.4138 | 0.2422 |
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+ | 0.7003 | 6.8966 | 200 | 0.6806 | 0.5862 | 0.4333 |
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+ | 0.6968 | 8.6207 | 250 | 0.6730 | 0.5862 | 0.4333 |
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+ | 0.6736 | 10.3448 | 300 | 0.6726 | 0.6897 | 0.6801 |
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+ | 0.6339 | 12.0690 | 350 | 0.6580 | 0.6207 | 0.6090 |
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+ | 0.6005 | 13.7931 | 400 | 0.6653 | 0.6207 | 0.5750 |
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  ### Framework versions
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