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: 0.1706
-- Validation Loss: 0.2808
-- Train Precision: 0.5269
-- Train Recall: 0.3278
-- Train F1: 0.4041
-- Train Accuracy: 0.9409
-- Epoch: 1
+- Train Loss: 0.1293
+- Validation Loss: 0.2770
+- Train Precision: 0.5634
+- Train Recall: 0.3828
+- Train F1: 0.4558
+- Train Accuracy: 0.9435
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.3690     | 0.3318          | 0.4888          | 0.1304       | 0.2059   | 0.9299         | 0     |
 | 0.1706     | 0.2808          | 0.5269          | 0.3278       | 0.4041   | 0.9409         | 1     |
+| 0.1293     | 0.2770          | 0.5634          | 0.3828       | 0.4558   | 0.9435         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d567ccbcb412f2e4315af9436f4953ed35a1450bc0adf97bea2fe8c0605fb9e8
 size 265618792