End of training

README.md

@@ -14,9 +14,9 @@ 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: 1.5153
-- Validation Loss: 1.1668
-- Epoch: 0
+- Train Loss: 0.9777
+- Validation Loss: 1.1221
+- Epoch: 1
 
 ## Model description
 
@@ -43,6 +43,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
 | 1.5153     | 1.1668          | 0     |
+| 0.9777     | 1.1221          | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1651787869.b29e717c9aba.82.0.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:564d3ceda8f92c0dd063e77d6567c1dde9321fbd63988636b03ed625d1112229
-size 1567241
+oid sha256:a8ff0c26cdb5ee303784118ea54242f1d1652a3eb2ded0d294948d94eb566c18
+size 1567527

logs/validation/events.out.tfevents.1651791768.b29e717c9aba.82.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:074d7f7cfab25351b035e93327eb73d71f69807633c1751b1cff22f0110036a3
-size 128
+oid sha256:5f2aaf9b082b4667edb63f9879093bfdfd9be4a6e9a58cc49107b50b970e2ef2
+size 350

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f2df465b558066617c4343510220359ec78bc4063ecd2f9a9018bab4d9fb25b7
+oid sha256:d3eb6c73415d00012d64d52870b950c0d869a63024e618636895b946117997e6
 size 265583688