Training in progress epoch 3

README.md

@@ -14,10 +14,10 @@ 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:
-- Train Loss: 1.4767
-- Validation Loss: 1.8153
-- Train Accuracy: 0.5131
-- Epoch: 2
+- Train Loss: 1.2870
+- Validation Loss: 1.8708
+- Train Accuracy: 0.5088
+- Epoch: 3
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | 2.1159     | 1.8381          | 0.4997         | 0     |
 | 1.6862     | 1.7809          | 0.5137         | 1     |
 | 1.4767     | 1.8153          | 0.5131         | 2     |
+| 1.2870     | 1.8708          | 0.5088         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7ecd380b0af7c9f2c75b7375816d788c6f7d69265776c15f85a53bd34973da62
 size 268056256