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lora_fine_tuned_cb_sloberta

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Files changed (12) hide show
  1. README.md +9 -9
  2. adapter_model.safetensors +1 -1
  3. runs/May22_12-53-39_DESKTOP-22QTFDR/events.out.tfevents.1716375223.DESKTOP-22QTFDR.13792.4 +3 -0
  4. runs/May22_12-53-39_DESKTOP-22QTFDR/events.out.tfevents.1716375259.DESKTOP-22QTFDR.13792.5 +3 -0
  5. runs/May22_12-54-47_DESKTOP-22QTFDR/events.out.tfevents.1716375289.DESKTOP-22QTFDR.13792.6 +3 -0
  6. runs/May22_12-56-14_DESKTOP-22QTFDR/events.out.tfevents.1716375376.DESKTOP-22QTFDR.13792.7 +3 -0
  7. runs/May22_12-56-14_DESKTOP-22QTFDR/events.out.tfevents.1716375412.DESKTOP-22QTFDR.13792.8 +3 -0
  8. runs/May22_12-57-53_DESKTOP-22QTFDR/events.out.tfevents.1716375475.DESKTOP-22QTFDR.13792.9 +3 -0
  9. runs/May22_12-57-53_DESKTOP-22QTFDR/events.out.tfevents.1716375511.DESKTOP-22QTFDR.13792.10 +3 -0
  10. runs/May22_12-59-16_DESKTOP-22QTFDR/events.out.tfevents.1716375558.DESKTOP-22QTFDR.16212.0 +3 -0
  11. runs/May22_12-59-16_DESKTOP-22QTFDR/events.out.tfevents.1716375594.DESKTOP-22QTFDR.16212.1 +3 -0
  12. training_args.bin +1 -1
README.md CHANGED
@@ -19,7 +19,7 @@ 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: 1.4698
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  - Accuracy: 0.3182
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  - F1: 0.1536
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@@ -52,14 +52,14 @@ 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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- | 0.9341 | 3.5714 | 50 | 1.2033 | 0.3182 | 0.1536 |
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- | 0.7464 | 7.1429 | 100 | 1.3834 | 0.3182 | 0.1536 |
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- | 0.7438 | 10.7143 | 150 | 1.4353 | 0.3182 | 0.1536 |
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- | 0.688 | 14.2857 | 200 | 1.4697 | 0.3182 | 0.1536 |
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- | 0.7202 | 17.8571 | 250 | 1.4780 | 0.3182 | 0.1536 |
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- | 0.7242 | 21.4286 | 300 | 1.4734 | 0.3182 | 0.1536 |
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- | 0.6945 | 25.0 | 350 | 1.4685 | 0.3182 | 0.1536 |
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- | 0.7193 | 28.5714 | 400 | 1.4698 | 0.3182 | 0.1536 |
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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: 1.4606
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  - Accuracy: 0.3182
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  - F1: 0.1536
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
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+ | 0.932 | 3.5714 | 50 | 1.2096 | 0.3182 | 0.1536 |
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+ | 0.745 | 7.1429 | 100 | 1.3888 | 0.3182 | 0.1536 |
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+ | 0.743 | 10.7143 | 150 | 1.4293 | 0.3182 | 0.1536 |
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+ | 0.6881 | 14.2857 | 200 | 1.4559 | 0.3182 | 0.1536 |
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+ | 0.7204 | 17.8571 | 250 | 1.4635 | 0.3182 | 0.1536 |
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+ | 0.7244 | 21.4286 | 300 | 1.4588 | 0.3182 | 0.1536 |
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+ | 0.6949 | 25.0 | 350 | 1.4588 | 0.3182 | 0.1536 |
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+ | 0.7195 | 28.5714 | 400 | 1.4606 | 0.3182 | 0.1536 |
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  ### Framework versions
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