Training in progress epoch 2

README.md

@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0008
-- Validation Loss: 0.0676
+- Train Loss: 0.0006
+- Validation Loss: 0.0697
 - Train Precision: 0.9062
 - Train Recall: 1.0
 - Train F1: 0.9508
 - Train Accuracy: 0.9905
-- Epoch: 1
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.0618     | 0.0597          | 0.9062          | 1.0          | 0.9508   | 0.9905         | 0     |
 | 0.0008     | 0.0676          | 0.9062          | 1.0          | 0.9508   | 0.9905         | 1     |
+| 0.0006     | 0.0697          | 0.9062          | 1.0          | 0.9508   | 0.9905         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:da2abbb86c7e87b3faf357c51446bf883932a8f39f92446f12440d3a3803a1e2
 size 265587984