End of training

README.md

@@ -15,7 +15,7 @@ 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: 2.7709
+- Loss: 2.8476
 
 ## Model description
 
@@ -35,8 +35,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 128
-- eval_batch_size: 128
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -47,11 +47,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.1073        | 1.0   | 79   | 2.8415          |
-| 3.0788        | 2.0   | 158  | 2.8331          |
-| 3.076         | 3.0   | 237  | 2.8173          |
-| 3.081         | 4.0   | 316  | 2.7946          |
-| 3.0791        | 5.0   | 395  | 2.8317          |
+| 3.0412        | 1.0   | 313  | 2.8585          |
+| 3.019         | 2.0   | 626  | 2.8627          |
+| 2.9974        | 3.0   | 939  | 2.8508          |
+| 2.991         | 4.0   | 1252 | 2.8339          |
+| 2.9919        | 5.0   | 1565 | 2.8476          |
 
 
 ### Framework versions

model.safetensors

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runs/Feb25_17-39-51_8cfa00f585f9/events.out.tfevents.1708882798.8cfa00f585f9.161.10

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