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fine_tuned_copa_croslo

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fine_tuned_copa_croslo

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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -19,8 +19,8 @@ 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: 0.6931
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- - Accuracy: 0.47
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- - F1: 0.4381
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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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- | 0.7199 | 1.0 | 50 | 0.6931 | 0.46 | 0.4176 |
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- | 0.7063 | 2.0 | 100 | 0.6931 | 0.59 | 0.5353 |
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- | 0.7195 | 3.0 | 150 | 0.6931 | 0.52 | 0.4603 |
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- | 0.7008 | 4.0 | 200 | 0.6931 | 0.55 | 0.3903 |
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- | 0.7353 | 5.0 | 250 | 0.6931 | 0.55 | 0.3903 |
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- | 0.7142 | 6.0 | 300 | 0.6931 | 0.55 | 0.3903 |
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- | 0.7284 | 7.0 | 350 | 0.6931 | 0.43 | 0.3814 |
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- | 0.7337 | 8.0 | 400 | 0.6931 | 0.47 | 0.4381 |
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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: 0.6931
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+ - Accuracy: 0.51
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+ - F1: 0.4857
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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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+ | 0.7257 | 1.0 | 50 | 0.6931 | 0.49 | 0.4838 |
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+ | 0.7001 | 2.0 | 100 | 0.6931 | 0.48 | 0.48 |
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+ | 0.7196 | 3.0 | 150 | 0.6931 | 0.52 | 0.4603 |
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+ | 0.6895 | 4.0 | 200 | 0.6931 | 0.5 | 0.4926 |
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+ | 0.745 | 5.0 | 250 | 0.6931 | 0.46 | 0.4244 |
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+ | 0.7102 | 6.0 | 300 | 0.6931 | 0.5 | 0.4861 |
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+ | 0.7245 | 7.0 | 350 | 0.6931 | 0.55 | 0.5391 |
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+ | 0.7283 | 8.0 | 400 | 0.6931 | 0.51 | 0.4857 |
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  ### Framework versions
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