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: 0.6612
-- Train Accuracy: 0.9235
-- Validation Loss: 0.2473
-- Validation Accuracy: 0.9235
-- Train Precision: 0.9269
-- Train Recall: 0.9235
-- Train F1: 0.9223
-- Epoch: 0
+- Train Loss: 0.2021
+- Train Accuracy: 0.9385
+- Validation Loss: 0.1769
+- Validation Accuracy: 0.9385
+- Train Precision: 0.9405
+- Train Recall: 0.9385
+- Train F1: 0.9381
+- 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 |
 |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
 | 0.6612     | 0.9235         | 0.2473          | 0.9235              | 0.9269          | 0.9235       | 0.9223   | 0     |
+| 0.2021     | 0.9385         | 0.1769          | 0.9385              | 0.9405          | 0.9385       | 0.9381   | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:f716232b86e92ae4e5fc435148c48524c24c14d30304d2b02222f08bce180daf
 size 1112482624