Training in progress epoch 7

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: 1.4008
-- Validation Loss: 1.0242
-- Train Accuracy: 0.7949
-- Epoch: 0
+- Train Loss: 0.0659
+- Validation Loss: 0.0634
+- Train Accuracy: 1.0
+- Epoch: 7
 
 ## Model description
 
@@ -44,6 +44,13 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 1.4008     | 1.0242          | 0.7949         | 0     |
+| 0.6857     | 0.5761          | 1.0            | 1     |
+| 0.3659     | 0.3438          | 1.0            | 2     |
+| 0.2247     | 0.2128          | 1.0            | 3     |
+| 0.1540     | 0.1474          | 1.0            | 4     |
+| 0.1104     | 0.1050          | 1.0            | 5     |
+| 0.0845     | 0.0806          | 1.0            | 6     |
+| 0.0659     | 0.0634          | 1.0            | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:18a825eb189360f820c3ce52034df4810fdfb8bb518c0891fe4053a1f3bb993f
+oid sha256:70d0c0f7fdeb1c1cdf6521a33db4ede6567cb93f80b571b05fefdb182efbc789
 size 267964096