Mou11209203
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distilbert-base-multilingual-cased_regression_finetuned_mobile01_all

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Mou11209203 commited on Apr 15

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@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 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.
 It achieves the following results on the evaluation set:
-- Loss: 1.0288
-- Mse: 1.0288
-- Mae: 0.6906
 ## Model description
@@ -42,16 +42,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 778
 - num_epochs: 10
 ### Training results
-| Training Loss | Epoch | Step  | Validation Loss | Mse    | Mae    |
-|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
-| 1.0986        | 1.0   | 7789  | 1.0288          | 1.0288 | 0.6906 |
-| 0.9558        | 2.0   | 15578 | 0.9708          | 0.9708 | 0.6495 |
-| 0.7025        | 3.0   | 23367 | 0.9381          | 0.9381 | 0.6311 |
 ### Framework versions

 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.
 It achieves the following results on the evaluation set:
+- Loss: 0.0004
+- Mse: 0.0004
+- Mae: 0.0183
 ## Model description
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - num_epochs: 10
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Mse    | Mae    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| No log        | 1.0   | 5    | 0.1000          | 0.1000 | 0.3073 |
+| No log        | 2.0   | 10   | 0.0123          | 0.0123 | 0.1057 |
+| No log        | 3.0   | 15   | 0.0076          | 0.0076 | 0.0854 |
+| No log        | 4.0   | 20   | 0.0042          | 0.0042 | 0.0632 |
+| No log        | 5.0   | 25   | 0.0028          | 0.0028 | 0.0516 |
+| No log        | 6.0   | 30   | 0.0001          | 0.0001 | 0.0088 |
+| No log        | 7.0   | 35   | 0.0012          | 0.0012 | 0.0337 |
+| No log        | 8.0   | 40   | 0.0001          | 0.0001 | 0.0078 |
+| No log        | 9.0   | 45   | 0.0004          | 0.0004 | 0.0174 |
+| 0.0746        | 10.0  | 50   | 0.0004          | 0.0004 | 0.0183 |
 ### Framework versions

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