End of training

README.md

@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.0992
-- Train Sparse Categorical Accuracy: 0.6094
-- Validation Loss: 0.3072
+- Train Loss: 0.3074
+- Train Sparse Categorical Accuracy: 0.9219
+- Validation Loss: 0.1151
 - Validation Sparse Categorical Accuracy: 1.0
-- Epoch: 0
+- Epoch: 2
 
 ## Model description
 
@@ -45,6 +45,8 @@ The following hyperparameters were used during training:
 | Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
 |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
 | 1.0992     | 0.6094                            | 0.3072          | 1.0                                    | 0     |
+| 0.3921     | 0.7812                            | 0.2903          | 1.0                                    | 1     |
+| 0.3074     | 0.9219                            | 0.1151          | 1.0                                    | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e439cd9fa5aa8aec4191da74ad884a90bbf1861232c0e11bbea0a8dac5b2a5a7
 size 267952712