End of training

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: 0.5185
-- Validation Loss: 0.4556
-- Train Matthews Correlation: 0.4728
-- Epoch: 0
+- Train Loss: 0.1911
+- Validation Loss: 0.5605
+- Train Matthews Correlation: 0.5106
+- Epoch: 2
 
 ## Model description
 
@@ -44,6 +44,8 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Matthews Correlation | Epoch |
 |:----------:|:---------------:|:--------------------------:|:-----:|
 | 0.5185     | 0.4556          | 0.4728                     | 0     |
+| 0.3247     | 0.4570          | 0.5093                     | 1     |
+| 0.1911     | 0.5605          | 0.5106                     | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1653025942.2f076e556345.59.0.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7d765ebf3adb90c7bb693fdb9760c65b7d7c1b1909a93e48532f7cfe4298435d
-size 1498729
+oid sha256:3cf1c0aa5e5efc30fcdcbc9e75dbfea48fb6eb63f7bf4b7f114f3c0a98d9142a
+size 1499187

logs/validation/events.out.tfevents.1653026971.2f076e556345.59.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:47cc9bb7674f14247b8ab64d69f7c7497275398872591ab7e56e62b137619f57
-size 194
+oid sha256:3864164940c51f5cdb4bb715e76ddac069c5ff1bff38600032b7990116a68a9f
+size 506

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7b8ee2fa760bfae399cd4e8e2a4a45fbab07efc9d224effe5d4bb369c45dc312
+oid sha256:d25ed0014db0ae6bfdc57d894dd5fefba27da205e98dbafd8fcc9ce85fdc5b4d
 size 267951896