Training in progress epoch 9

README.md

@@ -15,10 +15,10 @@ 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: 0.0122
-- Validation Loss: 0.7702
-- Train Accuracy: 0.8247
-- Epoch: 8
+- Train Loss: 0.0114
+- Validation Loss: 0.7885
+- Train Accuracy: 0.8144
+- Epoch: 9
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.0138     | 0.7865          | 0.8144         | 6     |
 | 0.0133     | 0.7804          | 0.8144         | 7     |
 | 0.0122     | 0.7702          | 0.8247         | 8     |
+| 0.0114     | 0.7885          | 0.8144         | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:502c260cbed9a4b9b3a2981047b7e00717646a27e5d9c60ab560c4bb8b0628b6
 size 267985864