Training in progress epoch 13

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: 0.0019
-- Validation Loss: 0.4504
-- Train Accuracy: 0.85
-- Epoch: 0
+- Train Loss: 0.2014
+- Validation Loss: 0.1349
+- Train Accuracy: 0.95
+- Epoch: 13
 
 ## Model description
 
@@ -44,6 +44,19 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.0019     | 0.4504          | 0.85           | 0     |
+| 0.0017     | 0.4712          | 0.85           | 1     |
+| 0.0016     | 0.4817          | 0.85           | 2     |
+| 0.0016     | 0.4854          | 0.85           | 3     |
+| 0.0015     | 0.4889          | 0.85           | 4     |
+| 0.0014     | 0.4960          | 0.85           | 5     |
+| 0.0014     | 0.4971          | 0.85           | 6     |
+| 0.0013     | 0.4970          | 0.85           | 7     |
+| 0.0013     | 0.4994          | 0.85           | 8     |
+| 0.0012     | 0.5083          | 0.85           | 9     |
+| 0.0011     | 0.5147          | 0.85           | 10    |
+| 0.0722     | 0.6652          | 0.825          | 11    |
+| 0.0971     | 0.8475          | 0.8            | 12    |
+| 0.2014     | 0.1349          | 0.95           | 13    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:97089274e4ff858a78d1b9173e574dd68f2be5b77e8be019d6174fe64564e220
 size 267955144