Training in progress epoch 2

README.md

@@ -15,14 +15,14 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2072
-- Train Accuracy: 0.936
-- Validation Loss: 0.1811
-- Validation Accuracy: 0.9360
-- Train Precision: 0.9379
-- Train Recall: 0.936
-- Train F1: 0.9356
-- Epoch: 1
+- Train Loss: 0.1468
+- Train Accuracy: 0.944
+- Validation Loss: 0.1545
+- Validation Accuracy: 0.9440
+- Train Precision: 0.9458
+- Train Recall: 0.944
+- Train F1: 0.9436
+- Epoch: 2
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
 | 0.8384     | 0.923          | 0.2463          | 0.9230              | 0.9256          | 0.923        | 0.9221   | 0     |
 | 0.2072     | 0.936          | 0.1811          | 0.9360              | 0.9379          | 0.936        | 0.9356   | 1     |
+| 0.1468     | 0.944          | 0.1545          | 0.9440              | 0.9458          | 0.944        | 0.9436   | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:fdbf1093c02e5c381e5ea2a4881692914e3c52a406500cf49cec2c91c14cf264
 size 1112482624