Training in progress epoch 65

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: 0.0158
-- Validation Loss: 0.6366
-- Train Accuracy: 0.9215
-- Epoch: 64
+- Train Loss: 0.0120
+- Validation Loss: 0.5511
+- Train Accuracy: 0.9245
+- Epoch: 65
 
 ## Model description
 
@@ -109,6 +109,7 @@ The following hyperparameters were used during training:
 | 0.0116     | 0.6166          | 0.9235         | 62    |
 | 0.0162     | 0.5217          | 0.9195         | 63    |
 | 0.0158     | 0.6366          | 0.9215         | 64    |
+| 0.0120     | 0.5511          | 0.9245         | 65    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7821ec49115fa5387e18f1e811fd8557d787c47e738acd256de35f9f41ba2c5e
 size 267964096