Training in progress epoch 2

README.md

@@ -1,5 +1,4 @@
 ---
-license: apache-2.0
 base_model: distilbert/distilroberta-base
 tags:
 - generated_from_keras_callback
@@ -15,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0066
-- Validation Loss: 0.0072
-- Train Precision: 0.9303
-- Train Recall: 0.9707
-- Train F1: 0.9690
-- Train Accuracy: 0.9985
-- Epoch: 1
+- Train Loss: 0.0050
+- Validation Loss: 0.0060
+- Train Precision: 0.9435
+- Train Recall: 0.9716
+- Train F1: 0.9705
+- Train Accuracy: 0.9988
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.0643     | 0.0085          | 0.9223          | 0.9608       | 0.9593   | 0.9984         | 0     |
 | 0.0066     | 0.0072          | 0.9303          | 0.9707       | 0.9690   | 0.9985         | 1     |
+| 0.0050     | 0.0060          | 0.9435          | 0.9716       | 0.9705   | 0.9988         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:048f4a95bfd30f26116fc38b89a7d7c67fdd2ee43258a7f6f482cde6200a3772
 size 326298984