End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2597
-- Accuracy: 0.9048
+- Loss: 0.2823
+- Accuracy: 0.9083
 
 ## Model description
 
@@ -38,8 +38,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 1024
-- eval_batch_size: 1024
+- train_batch_size: 512
+- eval_batch_size: 512
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 66   | 0.2954          | 0.875    |
-| No log        | 2.0   | 132  | 0.2539          | 0.9025   |
-| No log        | 3.0   | 198  | 0.2597          | 0.9048   |
-| No log        | 4.0   | 264  | 0.2723          | 0.9025   |
-| No log        | 5.0   | 330  | 0.2773          | 0.9048   |
+| No log        | 1.0   | 132  | 0.2514          | 0.9002   |
+| No log        | 2.0   | 264  | 0.2852          | 0.8911   |
+| No log        | 3.0   | 396  | 0.2823          | 0.9083   |
+| 0.1928        | 4.0   | 528  | 0.2995          | 0.9025   |
+| 0.1928        | 5.0   | 660  | 0.3086          | 0.9014   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:82c2f07acf61d06f16d3b1263da14c9d047ce46691d3fdee366e12a9b269d0ae
 size 267832560