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distilbert-base-multilingual-cased_regression_finetuned_ptt

Text Classification
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distilbert
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  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: 1.8821
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- - Mse: 1.8821
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- - Mae: 1.0167
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  ## Model description
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@@ -42,17 +42,21 @@ 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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- - lr_scheduler_warmup_steps: 206
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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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- | 1.9083 | 1.0 | 2062 | 1.8817 | 1.8817 | 1.0139 |
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- | 1.937 | 2.0 | 4124 | 1.8821 | 1.8821 | 1.0167 |
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- | 1.8841 | 3.0 | 6186 | 1.8812 | 1.8812 | 1.0160 |
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- | 1.7777 | 4.0 | 8248 | 1.8810 | 1.8810 | 1.0152 |
 
 
 
 
 
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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: 0.0008
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+ - Mse: 0.0008
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+ - Mae: 0.0267
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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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  - 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 | 0.2770 | 0.2770 | 0.5251 |
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+ | No log | 2.0 | 10 | 0.0242 | 0.0242 | 0.1534 |
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+ | No log | 3.0 | 15 | 0.0069 | 0.0069 | 0.0822 |
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+ | No log | 4.0 | 20 | 0.0023 | 0.0023 | 0.0465 |
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+ | No log | 5.0 | 25 | 0.0036 | 0.0036 | 0.0586 |
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+ | No log | 6.0 | 30 | 0.0016 | 0.0016 | 0.0391 |
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+ | No log | 7.0 | 35 | 0.0002 | 0.0002 | 0.0134 |
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+ | No log | 8.0 | 40 | 0.0011 | 0.0011 | 0.0328 |
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+ | No log | 9.0 | 45 | 0.0008 | 0.0008 | 0.0267 |
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  ### Framework versions
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