Training in progress epoch 3

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0333
-- Validation Loss: 0.4010
-- Train F1: 0.9133
-- Epoch: 2
+- Train Loss: 0.0152
+- Validation Loss: 0.4099
+- Train F1: 0.9069
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 0.4386     | 0.3821          | 0.9012   | 0     |
 | 0.1212     | 0.3744          | 0.9141   | 1     |
 | 0.0333     | 0.4010          | 0.9133   | 2     |
+| 0.0152     | 0.4099          | 0.9069   | 3     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1718992455.tm211pc.28675.0.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b81a3c6c679b3cad84e871fb19a9c2353506b3272fc10a8a673a16825501070d
-size 2662423
+oid sha256:034bc95e4453abb35ea103604d214fd67e815dae2224962829bd2ca9ab851827
+size 2662557

logs/validation/events.out.tfevents.1718992684.tm211pc.28675.1.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:45e6d64b20924cf51c7cca1cd25b3129cc77323782517a41285394781902ca3a
-size 544
+oid sha256:7c9ea8d44e18a9e9db0eb4809bab7dbc67539a4e388a6fc4c57d72c098aa168d
+size 700

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:805d128d6befd670d398ec82c3668c6adf344d1f081770499696f9cdeb7ba1cb
+oid sha256:bfc28c6c5a23aa0cf9dd94f396d50537898dc5d1f2b9f67a755de13946c4c781
 size 711717156