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: 0.0418
+- Train Loss: 0.0263
 - Validation Loss: 0.0494
-- Train Precision: 0.9270
-- Train Recall: 0.9362
-- Train F1: 0.9316
-- Train Accuracy: 0.9866
-- Epoch: 1
+- Train Precision: 0.9302
+- Train Recall: 0.9394
+- Train F1: 0.9348
+- Train Accuracy: 0.9873
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1686     | 0.0562          | 0.9098          | 0.9256       | 0.9177   | 0.9842         | 0     |
 | 0.0418     | 0.0494          | 0.9270          | 0.9362       | 0.9316   | 0.9866         | 1     |
+| 0.0263     | 0.0494          | 0.9302          | 0.9394       | 0.9348   | 0.9873         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:c7ccdb4398e503c10ca2a51209cdc8ea79913e350c05e864c0cb604c26a9f98b
 size 265606416