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: 0.1534
-- Validation Loss: 0.2625
-- Train Precision: 0.6388
-- Train Recall: 0.4019
-- Train F1: 0.4934
-- Train Accuracy: 0.9455
-- Epoch: 1
+- Train Loss: 0.1136
+- Validation Loss: 0.2519
+- Train Precision: 0.6410
+- Train Recall: 0.4486
+- Train F1: 0.5278
+- Train Accuracy: 0.9491
+- Epoch: 2
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.3233     | 0.3078          | 0.5333          | 0.1914       | 0.2817   | 0.9334         | 0     |
 | 0.1534     | 0.2625          | 0.6388          | 0.4019       | 0.4934   | 0.9455         | 1     |
+| 0.1136     | 0.2519          | 0.6410          | 0.4486       | 0.5278   | 0.9491         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:51e5d5b7ff1386e86d32c726cd766cd562d17ce5dbe176f710cb0628e9da7e0b
 size 265618704