Training in progress epoch 11

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: 1.0592
-- Validation Loss: 1.5154
-- Train Accuracy: 0.4359
-- Epoch: 4
+- Train Loss: 0.3438
+- Validation Loss: 1.4467
+- Train Accuracy: 0.5897
+- Epoch: 11
 
 ## Model description
 
@@ -48,6 +48,13 @@ The following hyperparameters were used during training:
 | 1.3926     | 1.6779          | 0.4103         | 2     |
 | 1.2462     | 1.5778          | 0.4359         | 3     |
 | 1.0592     | 1.5154          | 0.4359         | 4     |
+| 0.8814     | 1.5370          | 0.4615         | 5     |
+| 0.7554     | 1.4250          | 0.5385         | 6     |
+| 0.6303     | 1.4385          | 0.5641         | 7     |
+| 0.5458     | 1.3870          | 0.4872         | 8     |
+| 0.4808     | 1.3459          | 0.5385         | 9     |
+| 0.4098     | 1.5049          | 0.5385         | 10    |
+| 0.3438     | 1.4467          | 0.5897         | 11    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:aad599bb504c9167e9b0a0d3f387892fb2784d3e91d7db4a64d751d727d8ce7f
 size 267967432