Training in progress epoch 1

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: 0.8384
-- Train Accuracy: 0.923
-- Validation Loss: 0.2463
-- Validation Accuracy: 0.9230
-- Train Precision: 0.9256
-- Train Recall: 0.923
-- Train F1: 0.9221
-- Epoch: 0
+- 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
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Train Precision | Train Recall | Train F1 | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
 | 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     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:09780d8cefb37df29d4afa2ae5807e788a8b34df2b039a833f38168a647c2d38
 size 1112482624