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loha_fine_tuned_copa_croslo

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loha_fine_tuned_copa_croslo

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  1. README.md +10 -10
  2. adapter_model.safetensors +1 -1
  3. runs/May22_19-34-24_DESKTOP-22QTFDR/events.out.tfevents.1716399265.DESKTOP-22QTFDR.20468.10 +3 -0
  4. runs/May22_19-34-24_DESKTOP-22QTFDR/events.out.tfevents.1716399291.DESKTOP-22QTFDR.20468.11 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [EMBEDDIA/crosloengual-bert](https://huggingface.co/EMBEDDIA/crosloengual-bert) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3810
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- - Accuracy: 0.65
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- - F1: 0.6507
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  ## Model description
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@@ -53,13 +53,13 @@ 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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  | 0.693 | 1.0 | 50 | 0.6764 | 0.56 | 0.56 |
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- | 0.6391 | 2.0 | 100 | 0.6594 | 0.59 | 0.5904 |
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- | 0.5208 | 3.0 | 150 | 0.6686 | 0.64 | 0.64 |
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- | 0.3196 | 4.0 | 200 | 0.9298 | 0.64 | 0.6409 |
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- | 0.1702 | 5.0 | 250 | 0.9696 | 0.61 | 0.6110 |
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- | 0.0585 | 6.0 | 300 | 1.2550 | 0.63 | 0.6308 |
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- | 0.0169 | 7.0 | 350 | 1.3515 | 0.64 | 0.6406 |
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- | 0.0156 | 8.0 | 400 | 1.3810 | 0.65 | 0.6507 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [EMBEDDIA/crosloengual-bert](https://huggingface.co/EMBEDDIA/crosloengual-bert) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2439
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+ - Accuracy: 0.64
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+ - F1: 0.6409
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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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  | 0.693 | 1.0 | 50 | 0.6764 | 0.56 | 0.56 |
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+ | 0.6401 | 2.0 | 100 | 0.6814 | 0.53 | 0.5304 |
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+ | 0.5345 | 3.0 | 150 | 0.6725 | 0.66 | 0.6592 |
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+ | 0.3293 | 4.0 | 200 | 0.8363 | 0.65 | 0.6509 |
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+ | 0.1831 | 5.0 | 250 | 0.9311 | 0.65 | 0.6507 |
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+ | 0.0662 | 6.0 | 300 | 1.0890 | 0.67 | 0.6707 |
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+ | 0.0238 | 7.0 | 350 | 1.1631 | 0.64 | 0.6409 |
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+ | 0.0364 | 8.0 | 400 | 1.2439 | 0.64 | 0.6409 |
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  ### Framework versions
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