Training in progress epoch 2

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [flaubert/flaubert_base_uncased](https://huggingface.co/flaubert/flaubert_base_uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2343
-- Validation Loss: 0.2487
-- Train Accuracy: 0.9118
-- Epoch: 1
+- Train Loss: 0.1491
+- Validation Loss: 0.2361
+- Train Accuracy: 0.9270
+- Epoch: 2
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.5561     | 0.3184          | 0.8589         | 0     |
 | 0.2343     | 0.2487          | 0.9118         | 1     |
+| 0.1491     | 0.2361          | 0.9270         | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1675250988.ccc0feeed819.6436.0.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:649cf4740dc86a53838061c3931d5e4cb7f3dc07fbcc0241735f0b18bf6f042f
-size 2606242
+oid sha256:fd5fe48c7193fd5ba9f559bd3009fd16946465b30717bb98a017f29115fc012b
+size 2606459

logs/validation/events.out.tfevents.1675252386.ccc0feeed819.6436.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:70ea9a5ff6f92b95d4761165ad65c02419b7d6ca4982e6679c0e706a92cd38ac
-size 350
+oid sha256:e18136c72b03d4e7a76490fada33a1f1c2dc1cb657e755d58379fa56f80b747a
+size 506

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:44958bba0c8d04654713c5673b3fa4ea61ab4a30f4218013cfdc0c2cb605c277
+oid sha256:de57ec02e3e5809eddce33da73ba3b4941ba8e18f13592951b37e03733fc1ab2
 size 549514736