End of training

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.4628
-- Train Accuracy: 0.8338
-- Validation Loss: 0.2628
-- Validation Accuracy: 0.9243
+- Train Loss: 0.5285
+- Train Accuracy: 0.8149
+- Validation Loss: 0.3053
+- Validation Accuracy: 0.8919
 - Epoch: 0
 
 ## Model description
@@ -45,7 +45,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.4628     | 0.8338         | 0.2628          | 0.9243              | 0     |
+| 0.5285     | 0.8149         | 0.3053          | 0.8919              | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:3da065cc73ec094092a5e93d691cee79acf2041fe8a1d152778f7eddae9a7993
 size 267955144