Training in progress epoch 10

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: 0.4282
-- Validation Loss: 0.7698
-- Train Accuracy: 0.75
-- Epoch: 8
+- Train Loss: 0.2912
+- Validation Loss: 0.8342
+- Train Accuracy: 0.775
+- Epoch: 10
 
 ## Model description
 
@@ -52,6 +52,8 @@ The following hyperparameters were used during training:
 | 0.5122     | 0.9161          | 0.75           | 6     |
 | 0.4713     | 0.8417          | 0.8            | 7     |
 | 0.4282     | 0.7698          | 0.75           | 8     |
+| 0.3625     | 0.7982          | 0.75           | 9     |
+| 0.2912     | 0.8342          | 0.775          | 10    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:6484cbbbed8f8e1bb315220c68d308f09d3b8fceb5033af584c1bb06687912ff
 size 267985864