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distilbert-base-multilingual-cased_regression_finetuned_dcard

Text Classification
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distilbert
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  1. README.md +16 -15
  2. model.safetensors +1 -1
README.md CHANGED
@@ -15,9 +15,9 @@ 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: 0.0004
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- - Mse: 0.0004
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- - Mae: 0.0153
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  ## Model description
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@@ -42,22 +42,23 @@ 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 | 0.1120 | 0.1120 | 0.3246 |
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- | No log | 2.0 | 10 | 0.0117 | 0.0117 | 0.0966 |
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- | No log | 3.0 | 15 | 0.0048 | 0.0048 | 0.0602 |
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- | No log | 4.0 | 20 | 0.0029 | 0.0029 | 0.0492 |
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- | No log | 5.0 | 25 | 0.0016 | 0.0016 | 0.0328 |
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- | No log | 6.0 | 30 | 0.0005 | 0.0005 | 0.0173 |
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- | No log | 7.0 | 35 | 0.0004 | 0.0004 | 0.0177 |
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- | No log | 8.0 | 40 | 0.0003 | 0.0003 | 0.0157 |
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- | No log | 9.0 | 45 | 0.0004 | 0.0004 | 0.0154 |
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- | 0.0654 | 10.0 | 50 | 0.0004 | 0.0004 | 0.0153 |
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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: 0.6401
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+ - Mse: 0.6401
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+ - Mae: 0.4922
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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: 891
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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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+ | 1.055 | 1.0 | 8917 | 0.9565 | 0.9565 | 0.6907 |
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+ | 0.8048 | 2.0 | 17834 | 0.7746 | 0.7746 | 0.6010 |
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+ | 0.6171 | 3.0 | 26751 | 0.7066 | 0.7066 | 0.5555 |
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+ | 0.5647 | 4.0 | 35668 | 0.6739 | 0.6739 | 0.5297 |
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+ | 0.5468 | 5.0 | 44585 | 0.6283 | 0.6283 | 0.5066 |
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+ | 0.5439 | 6.0 | 53502 | 0.6335 | 0.6335 | 0.5029 |
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+ | 0.4582 | 7.0 | 62419 | 0.6354 | 0.6354 | 0.4968 |
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+ | 0.4479 | 8.0 | 71336 | 0.6334 | 0.6334 | 0.4908 |
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+ | 0.4195 | 9.0 | 80253 | 0.6403 | 0.6403 | 0.4919 |
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+ | 0.4137 | 10.0 | 89170 | 0.6401 | 0.6401 | 0.4922 |
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  ### Framework versions
model.safetensors CHANGED
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