Training in progress epoch 9

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: 0.6690
-- Validation Loss: 1.4263
-- Train Accuracy: 0.5897
-- Epoch: 7
+- Train Loss: 0.4790
+- Validation Loss: 1.3887
+- Train Accuracy: 0.6154
+- Epoch: 9
 
 ## Model description
 
@@ -51,6 +51,8 @@ The following hyperparameters were used during training:
 | 0.8769     | 1.4388          | 0.5897         | 5     |
 | 0.7829     | 1.4165          | 0.5897         | 6     |
 | 0.6690     | 1.4263          | 0.5897         | 7     |
+| 0.5765     | 1.3252          | 0.6154         | 8     |
+| 0.4790     | 1.3887          | 0.6154         | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:854c906170c4df3a67ff9f4a75301bba9a6d8f11855f15f9f4fabb3aa9238680
 size 267967432