Model save

README.md

@@ -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: 0.4167
-- Mse: 0.4167
-- Mae: 0.6432
+- Loss: 0.7659
+- Mse: 0.7659
+- Mae: 0.5919
 
 ## Model description
 
@@ -36,22 +36,22 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 3e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 891
 - num_epochs: 10
-- mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Mse    | Mae    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
-| No log        | 1.0   | 5    | 0.4167          | 0.4167 | 0.6432 |
-| No log        | 2.0   | 10   | 0.1147          | 0.1147 | 0.3261 |
-| No log        | 3.0   | 15   | 0.0152          | 0.0152 | 0.0902 |
+| Training Loss | Epoch | Step  | Validation Loss | Mse    | Mae    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
+| 1.0667        | 1.0   | 8917  | 0.9488          | 0.9488 | 0.6910 |
+| 0.8502        | 2.0   | 17834 | 0.7789          | 0.7789 | 0.6072 |
+| 0.6093        | 3.0   | 26751 | 0.7659          | 0.7659 | 0.5919 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e10c2a966f12e02a762c4d58abf722bbccf6df68ad775fd6ce0a66379adb8be7
 size 541314292