Training in progress epoch 3

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: 0.2267
-- Train Accuracy: 0.9216
-- Validation Loss: 0.4305
-- Validation Accuracy: 0.8380
-- Epoch: 2
+- Train Loss: 0.1352
+- Train Accuracy: 0.9589
+- Validation Loss: 0.4609
+- Validation Accuracy: 0.8436
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 0.5151     | 0.7561         | 0.4200          | 0.8212              | 0     |
 | 0.3509     | 0.8612         | 0.3811          | 0.8380              | 1     |
 | 0.2267     | 0.9216         | 0.4305          | 0.8380              | 2     |
+| 0.1352     | 0.9589         | 0.4609          | 0.8436              | 3     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1676047991.ac38487b6343.1977.4.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:726866d5a9d26ca62ad32e00d7be89f6ca93e78513ddb9a588fef85a8f9ede38
-size 3139176
+oid sha256:26d8ae8f7fd0edf19b1585e286f2fa958edc5698f34231c871e51ba22f9f083b
+size 3139393

logs/validation/events.out.tfevents.1676048167.ac38487b6343.1977.5.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:56a390c012978cb3932b4343c06976ecedd29c952eb24e9f1d55253ccda638b3
-size 996
+oid sha256:097655bf2a9bb05b9a7a200baf03453a74d9061b8e44ee6beedddfdc9d1bf4d4
+size 1316

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c33cc57286f5517c2c36893a2cc8be3c2bf75c19446dc1e0d36232a97e78e9d6
+oid sha256:6fc32ad21221730d85c0998631acb25d170a359bdf830145d2f92aa03b73b4ab
 size 442783616