End of training

README.md

@@ -1,5 +1,4 @@
 ---
-license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
@@ -15,7 +14,7 @@ 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: 2.4558
+- Loss: 2.2260
 
 ## Model description
 
@@ -35,8 +34,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 64
-- eval_batch_size: 64
+- 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: linear
@@ -47,9 +46,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.6875        | 1.0   | 157  | 2.4885          |
-| 2.5654        | 2.0   | 314  | 2.4694          |
-| 2.527         | 3.0   | 471  | 2.4558          |
+| 2.4791        | 1.0   | 625  | 2.2769          |
+| 2.3842        | 2.0   | 1250 | 2.2267          |
+| 2.3412        | 3.0   | 1875 | 2.2260          |
 
 
 ### Framework versions

runs/Aug27_12-49-00_Hamza/events.out.tfevents.1724744954.Hamza.15456.0

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