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End of training

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README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.5972
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- - Accuracy: 0.2
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  ## Model description
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@@ -43,17 +43,43 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | 1.6068 | 0.3846 | 5 | 1.6091 | 0.2 |
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- | 1.6332 | 0.7692 | 10 | 1.6017 | 0.15 |
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- | 1.5927 | 1.1538 | 15 | 1.5977 | 0.25 |
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- | 1.59 | 1.5385 | 20 | 1.5987 | 0.2 |
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- | 1.5767 | 1.9231 | 25 | 1.5972 | 0.2 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.7005
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+ - Accuracy: 0.455
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | 1.183 | 0.16 | 20 | 1.4843 | 0.35 |
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+ | 1.34 | 0.32 | 40 | 1.4466 | 0.35 |
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+ | 1.265 | 0.48 | 60 | 1.3036 | 0.39 |
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+ | 1.3107 | 0.64 | 80 | 1.2656 | 0.415 |
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+ | 1.0969 | 0.8 | 100 | 1.2302 | 0.455 |
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+ | 1.1958 | 0.96 | 120 | 1.2676 | 0.465 |
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+ | 1.0183 | 1.12 | 140 | 1.2523 | 0.45 |
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+ | 0.8682 | 1.28 | 160 | 1.2620 | 0.495 |
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+ | 0.9 | 1.44 | 180 | 1.2779 | 0.485 |
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+ | 0.9613 | 1.6 | 200 | 1.5713 | 0.36 |
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+ | 0.9667 | 1.76 | 220 | 1.3170 | 0.465 |
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+ | 1.0284 | 1.92 | 240 | 1.2343 | 0.5 |
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+ | 0.8681 | 2.08 | 260 | 1.2968 | 0.49 |
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+ | 0.7134 | 2.24 | 280 | 1.4032 | 0.44 |
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+ | 0.7311 | 2.4 | 300 | 1.3624 | 0.46 |
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+ | 0.61 | 2.56 | 320 | 1.4416 | 0.44 |
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+ | 0.7033 | 2.7200 | 340 | 1.5110 | 0.46 |
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+ | 0.5881 | 2.88 | 360 | 1.3926 | 0.475 |
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+ | 0.6666 | 3.04 | 380 | 1.3896 | 0.49 |
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+ | 0.4299 | 3.2 | 400 | 1.4787 | 0.47 |
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+ | 0.3613 | 3.36 | 420 | 1.5145 | 0.48 |
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+ | 0.4714 | 3.52 | 440 | 1.5547 | 0.46 |
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+ | 0.4698 | 3.68 | 460 | 1.5584 | 0.44 |
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+ | 0.3191 | 3.84 | 480 | 1.5748 | 0.475 |
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+ | 0.4044 | 4.0 | 500 | 1.7353 | 0.44 |
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+ | 0.2275 | 4.16 | 520 | 1.6115 | 0.46 |
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+ | 0.3171 | 4.32 | 540 | 1.6326 | 0.46 |
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+ | 0.2005 | 4.48 | 560 | 1.6569 | 0.47 |
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+ | 0.3165 | 4.64 | 580 | 1.6955 | 0.46 |
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+ | 0.2543 | 4.8 | 600 | 1.6887 | 0.465 |
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+ | 0.186 | 4.96 | 620 | 1.7005 | 0.455 |
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  ### Framework versions
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