Training in progress epoch 1

README.md

@@ -16,14 +16,14 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.4750
-- Train Accuracy: 0.9315
-- Validation Loss: 0.2028
-- Validation Accuracy: 0.9315
-- Train Precision: 0.9325
-- Train Recall: 0.9315
-- Train F1: 0.9312
-- Epoch: 0
+- Train Loss: 0.1720
+- Train Accuracy: 0.9375
+- Validation Loss: 0.1780
+- Validation Accuracy: 0.9375
+- Train Precision: 0.9396
+- Train Recall: 0.9375
+- Train F1: 0.9371
+- Epoch: 1
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Train Precision | Train Recall | Train F1 | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
 | 0.4750     | 0.9315         | 0.2028          | 0.9315              | 0.9325          | 0.9315       | 0.9312   | 0     |
+| 0.1720     | 0.9375         | 0.1780          | 0.9375              | 0.9396          | 0.9375       | 0.9371   | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 328641624