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distilbert-base-multilingual-cased_regression_finetuned_mobile01_all

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distilbert
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  1. README.md +15 -15
  2. model.safetensors +1 -1
README.md CHANGED
@@ -15,9 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/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: 0.0001
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- - Mse: 0.0001
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- - Mae: 0.0078
 
 
 
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  ## Model description
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@@ -42,22 +45,19 @@ 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: cosine
 
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  - num_epochs: 10
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Mse | Mae |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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- | No log | 1.0 | 5 | 0.1000 | 0.1000 | 0.3073 |
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- | No log | 2.0 | 10 | 0.0123 | 0.0123 | 0.1057 |
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- | No log | 3.0 | 15 | 0.0076 | 0.0076 | 0.0854 |
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- | No log | 4.0 | 20 | 0.0042 | 0.0042 | 0.0632 |
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- | No log | 5.0 | 25 | 0.0028 | 0.0028 | 0.0516 |
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- | No log | 6.0 | 30 | 0.0001 | 0.0001 | 0.0088 |
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- | No log | 7.0 | 35 | 0.0012 | 0.0012 | 0.0337 |
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- | No log | 8.0 | 40 | 0.0001 | 0.0001 | 0.0078 |
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- | No log | 9.0 | 45 | 0.0004 | 0.0004 | 0.0174 |
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- | 0.0746 | 10.0 | 50 | 0.0004 | 0.0004 | 0.0183 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/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: 0.8880
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+ - Mse: 0.8880
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+ - Mae: 0.5936
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+ - Rmse: 0.9423
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+ - Mape: inf
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+ - R Squared: 0.5143
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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: cosine
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+ - lr_scheduler_warmup_steps: 778
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  - num_epochs: 10
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Mse | Mae | Rmse | Mape | R Squared |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:----:|:---------:|
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+ | 1.0906 | 1.0 | 7789 | 1.0449 | 1.0449 | 0.7032 | 1.0222 | inf | 0.4285 |
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+ | 0.9156 | 2.0 | 15578 | 0.9369 | 0.9369 | 0.6340 | 0.9679 | inf | 0.4875 |
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+ | 0.6858 | 3.0 | 23367 | 0.9153 | 0.9153 | 0.6189 | 0.9567 | inf | 0.4993 |
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+ | 1.0272 | 4.0 | 31156 | 0.8877 | 0.8877 | 0.5973 | 0.9422 | inf | 0.5145 |
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+ | 0.7273 | 5.0 | 38945 | 0.8928 | 0.8928 | 0.6004 | 0.9449 | inf | 0.5117 |
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+ | 0.8211 | 6.0 | 46734 | 0.8880 | 0.8880 | 0.5936 | 0.9423 | inf | 0.5143 |
 
 
 
 
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  ### Framework versions
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