Model save

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/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6577
+- Loss: 1.3847
 
 ## Model description
 
@@ -35,8 +35,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -46,7 +46,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.2406        | 1.0   | 500  | 1.6577          |
+| 1.5008        | 1.0   | 1000 | 1.3847          |
 
 
 ### Framework versions

runs/Mar23_06-24-09_2a8709f4af60/events.out.tfevents.1711175059.2a8709f4af60.569.3

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 4943
+oid sha256:543fc326672f3514471a5536a3ea60d7cdb8e244b43d78f016912f69f19ec319
+size 5568