Training in progress epoch 66

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: 0.0120
-- Validation Loss: 0.5511
-- Train Accuracy: 0.9245
-- Epoch: 65
+- Train Loss: 0.0093
+- Validation Loss: 0.4895
+- Train Accuracy: 0.9225
+- Epoch: 66
 
 ## Model description
 
@@ -110,6 +110,7 @@ The following hyperparameters were used during training:
 | 0.0162     | 0.5217          | 0.9195         | 63    |
 | 0.0158     | 0.6366          | 0.9215         | 64    |
 | 0.0120     | 0.5511          | 0.9245         | 65    |
+| 0.0093     | 0.4895          | 0.9225         | 66    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ed0d71aa989833dafc8f46f029dee4747879a3cb7a1e25d08423e249f5171d33
 size 267964096