Training in progress epoch 4

README.md

@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1303
-- Train Accuracy: 0.9589
-- Validation Loss: 0.4488
-- Validation Accuracy: 0.8324
-- Epoch: 3
+- Train Loss: 0.0877
+- Train Accuracy: 0.9757
+- Validation Loss: 0.5045
+- Validation Accuracy: 0.8380
+- Epoch: 4
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | 0.3267     | 0.8718         | 0.3577          | 0.8436              | 1     |
 | 0.2134     | 0.9272         | 0.3967          | 0.8324              | 2     |
 | 0.1303     | 0.9589         | 0.4488          | 0.8324              | 3     |
+| 0.0877     | 0.9757         | 0.5045          | 0.8380              | 4     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1676023984.9a26f421da70.364.2.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ecf35efe2b92b5b031d378a13981b9fab1f703efae304288f162a78c71064107
-size 3160111
+oid sha256:37512718cd3290a15d25dee2f95bc5c4ce6b639502aa15f08f559991751e3260
+size 3160328

logs/validation/events.out.tfevents.1676024163.9a26f421da70.364.3.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9d65b5562860f92e09033f52ab605bbe59142978e9c58ddf66e74f27ff1b6fd2
-size 1316
+oid sha256:cd7d5467f98f4a657a2fe5806a98d61e773e1285be8d214482583113eea2aaf3
+size 1636

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b2142f34c62ff85790ee979d105a77de8363cc43e3b457bdd256b64e862ab3db
+oid sha256:7fed0d4c0d5976234b5c0b5c7c7f26d5abb8cbdc74b7e0e7e293d9d3d192b685
 size 442783616