Training in progress epoch 0

README.md

@@ -16,13 +16,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1017
-- Validation Loss: 0.2513
-- Train Precision: 0.6036
-- Train Recall: 0.4426
-- Train F1: 0.5107
-- Train Accuracy: 0.9478
-- Epoch: 2
+- Train Loss: 0.2774
+- Validation Loss: 0.2932
+- Train Precision: 0.5372
+- Train Recall: 0.2416
+- Train F1: 0.3333
+- Train Accuracy: 0.9359
+- Epoch: 0
 
 ## Model description
 
@@ -48,9 +48,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
-| 0.2774     | 0.3035          | 0.5376          | 0.2907       | 0.3773   | 0.9383         | 0     |
-| 0.1445     | 0.2641          | 0.5899          | 0.3768       | 0.4599   | 0.9444         | 1     |
-| 0.1017     | 0.2513          | 0.6036          | 0.4426       | 0.5107   | 0.9478         | 2     |
+| 0.2774     | 0.2932          | 0.5372          | 0.2416       | 0.3333   | 0.9359         | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 709377020
+oid sha256:7a345eac205ce85f314c34dda25151591cfc71f7cb548f5adbfc017a9c1e8c2b
+size 709364732