Training in progress epoch 17

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: 0.0170
-- Validation Loss: 0.2836
-- Train Accuracy: 0.932
-- Epoch: 16
+- Train Loss: 0.0214
+- Validation Loss: 0.3033
+- Train Accuracy: 0.9375
+- Epoch: 17
 
 ## Model description
 
@@ -61,6 +61,7 @@ The following hyperparameters were used during training:
 | 0.0221     | 0.2737          | 0.934          | 14    |
 | 0.0174     | 0.4403          | 0.93           | 15    |
 | 0.0170     | 0.2836          | 0.932          | 16    |
+| 0.0214     | 0.3033          | 0.9375         | 17    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:6de8f7b0a312d9d9de7786769e79c62e6c6ebba0f0f956a07723d2fa0dcc40bb
 size 267964096