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: 0.4810
-- Validation Loss: 0.4276
-- Train Accuracy: 0.8330
-- Epoch: 0
+- Train Loss: 0.2887
+- Validation Loss: 0.4392
+- Train Accuracy: 0.8414
+- Epoch: 2
 
 ## Model description
 
@@ -44,6 +44,8 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.4810     | 0.4276          | 0.8330         | 0     |
+| 0.3714     | 0.4163          | 0.8415         | 1     |
+| 0.2887     | 0.4392          | 0.8414         | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1665767021.61ad2084c735.66.0.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6601334e8dfdbe9cf5b32f20b6d47fa4d26daa476ed466c8f464fc5c99782f2f
-size 1507979
+oid sha256:369e7da5b4ba66e8b6b28a00164925e76365684990296da14e7df030b0d61729
+size 1508413

logs/validation/events.out.tfevents.1665769049.61ad2084c735.66.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8d9de510ddc2ad0df9536befb6ed5c99f5a059566aff5b9e433f21b9237696ee
-size 194
+oid sha256:70ba3923e26a9fb76ae9d94dc9143e96865084f1f9e1b55576cf0eef6d21cfbb
+size 507

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:890297a64b82eb49cae375a1332887806ffdeeb1dcf338eb9f52097288cce7d7
+oid sha256:d42dc4555508b3d2f2f9a5c495a5442cec59c9ff220b02609913f5ae37d8e39a
 size 267954968