Training in progress epoch 4

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: 0.0745
-- Validation Loss: 0.1773
-- Train Accuracy: 0.9348
-- Epoch: 2
+- Train Loss: 0.0326
+- Validation Loss: 0.1808
+- Train Accuracy: 0.9457
+- Epoch: 4
 
 ## Model description
 
@@ -46,6 +46,8 @@ The following hyperparameters were used during training:
 | 0.2968     | 0.2450          | 0.8804         | 0     |
 | 0.1445     | 0.1938          | 0.9457         | 1     |
 | 0.0745     | 0.1773          | 0.9348         | 2     |
+| 0.0491     | 0.1836          | 0.9457         | 3     |
+| 0.0326     | 0.1808          | 0.9457         | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a07a2ed6d8c48ae71d21550a77a1eefed67e54bc4ffa2c2184bec6f5dede53b4
+oid sha256:17c4abe949418f3ed9e563777c8f5f1177e9f6bf9f7018d5370a651fa56fade0
 size 267951808