Training in progress epoch 2

README.md

@@ -14,13 +14,13 @@ 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: 0.1624
-- Validation Loss: 0.2624
-- Train Precision: 0.5321
-- Train Recall: 0.3971
-- Train F1: 0.4548
-- Train Accuracy: 0.9438
-- Epoch: 1
+- Train Loss: 0.1203
+- Validation Loss: 0.2537
+- Train Precision: 0.5971
+- Train Recall: 0.4450
+- Train F1: 0.5099
+- Train Accuracy: 0.9475
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.3513     | 0.3180          | 0.3947          | 0.0718       | 0.1215   | 0.9260         | 0     |
 | 0.1624     | 0.2624          | 0.5321          | 0.3971       | 0.4548   | 0.9438         | 1     |
+| 0.1203     | 0.2537          | 0.5971          | 0.4450       | 0.5099   | 0.9475         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:5843724b23988bbd26cf19b1c354130ab216baed70da99394b829cf669316f28
 size 265618704