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distilbert-base-multilingual-cased_regression_finetuned_news_all

Text Classification
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distilbert
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  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: 0.0066
 
 
 
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  ## Model description
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@@ -42,19 +45,20 @@ 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 | 0.0270 | 0.0270 | 0.1628 |
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- | No log | 2.0 | 10 | 0.0041 | 0.0041 | 0.0611 |
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- | No log | 3.0 | 15 | 0.0001 | 0.0001 | 0.0090 |
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- | No log | 4.0 | 20 | 0.0001 | 0.0001 | 0.0072 |
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- | No log | 5.0 | 25 | 0.0001 | 0.0001 | 0.0066 |
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- | No log | 6.0 | 30 | 0.0001 | 0.0001 | 0.0105 |
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- | No log | 7.0 | 35 | 0.0001 | 0.0001 | 0.0074 |
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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: 0.8918
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+ - Mse: 0.8918
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+ - Mae: 0.5607
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+ - Rmse: 0.9444
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+ - Mape: inf
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+ - R Squared: 0.4805
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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: 2175
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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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+ | 0.9354 | 1.0 | 21755 | 0.9298 | 0.9298 | 0.5985 | 0.9643 | inf | 0.4584 |
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+ | 0.8432 | 2.0 | 43510 | 0.8988 | 0.8988 | 0.5756 | 0.9481 | inf | 0.4764 |
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+ | 0.8033 | 3.0 | 65265 | 0.8810 | 0.8810 | 0.5685 | 0.9386 | inf | 0.4868 |
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+ | 0.8119 | 4.0 | 87020 | 0.8778 | 0.8778 | 0.5623 | 0.9369 | inf | 0.4887 |
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+ | 0.7401 | 5.0 | 108775 | 0.8565 | 0.8565 | 0.5566 | 0.9255 | inf | 0.5011 |
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+ | 0.6964 | 6.0 | 130530 | 0.8877 | 0.8877 | 0.5587 | 0.9422 | inf | 0.4829 |
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+ | 0.6213 | 7.0 | 152285 | 0.8918 | 0.8918 | 0.5607 | 0.9444 | inf | 0.4805 |
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  ### Framework versions
model.safetensors CHANGED
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