Model save

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4576
-- Accuracy: 0.5678
+- Loss: 1.4255
+- Accuracy: 0.5729
 
 ## Model description
 
@@ -38,7 +38,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 3e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -47,15 +47,16 @@ The following hyperparameters were used during training:
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - num_epochs: 4
+- mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 8.1859        | 1.0    | 543  | 1.5953          | 0.5530   |
-| 6.0232        | 2.0    | 1086 | 1.4822          | 0.5670   |
-| 5.3585        | 3.0    | 1629 | 1.4554          | 0.5708   |
-| 5.0356        | 3.9931 | 2168 | 1.4576          | 0.5678   |
+| 7.7135        | 1.0    | 543  | 1.5099          | 0.5584   |
+| 5.677         | 2.0    | 1086 | 1.4271          | 0.5716   |
+| 4.9715        | 3.0    | 1629 | 1.4126          | 0.5754   |
+| 4.5051        | 3.9931 | 2168 | 1.4255          | 0.5729   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:6473d30d1cf7b5305dc3b9eca56295116cc047d7da15189645feb3bddc35457f
 size 267912544