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: 1.4994
-- Validation Loss: 1.1510
-- Epoch: 0
+- Train Loss: 0.9604
+- Validation Loss: 1.1109
+- Epoch: 1
 
 ## Model description
 
@@ -43,6 +43,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
 | 1.4994     | 1.1510          | 0     |
+| 0.9604     | 1.1109          | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1649758801.bc866067bed6.509.0.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2cd98b0da815424c53fb92f4474ca7eeaac3c49ed382fad0a306be641cd8025f
-size 1453356
+oid sha256:a275d4baead6fe9731681a97bf97b013fce754579430f04e0ae4a452068281da
+size 1453501

logs/validation/events.out.tfevents.1649761068.bc866067bed6.509.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e680a6dd48eb901f7991bcab246a47d7800539eb61903891873c6d8dd2b7ed40
-size 194
+oid sha256:14ac8ba464b92f802017ebee64948bcb1b2784b19d6d94fe061823d8a18bcf87
+size 350

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c764bb22781ef5b6bd0003b4197085f4bb6bc51fed4187e448e0e7fd2a938f7f
+oid sha256:3b0c25a4bfb8edca99a9b686f18617a608996728b190c983e0de9cb6376cdaf5
 size 265583688