Training in progress epoch 64

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: 0.0162
-- Validation Loss: 0.5217
-- Train Accuracy: 0.9195
-- Epoch: 63
+- Train Loss: 0.0158
+- Validation Loss: 0.6366
+- Train Accuracy: 0.9215
+- Epoch: 64
 
 ## Model description
 
@@ -108,6 +108,7 @@ The following hyperparameters were used during training:
 | 0.0071     | 0.6263          | 0.9245         | 61    |
 | 0.0116     | 0.6166          | 0.9235         | 62    |
 | 0.0162     | 0.5217          | 0.9195         | 63    |
+| 0.0158     | 0.6366          | 0.9215         | 64    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1bbf23c0d8a04adaffaa4b927d114f9caaea8a9657e3e3290a86c0a623f35f6c
+oid sha256:77fd07c91bf9e18af0a055c2cabb67b0f7576c07ff4676acd7cc05c090a67d84
 size 267964096