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: 0.1601
-- Validation Loss: 0.2601
-- Train Precision: 0.5083
-- Train Recall: 0.4043
-- Train F1: 0.4504
-- Train Accuracy: 0.9433
-- Epoch: 1
+- Train Loss: 0.1199
+- Validation Loss: 0.2580
+- Train Precision: 0.5808
+- Train Recall: 0.4342
+- Train F1: 0.4969
+- Train Accuracy: 0.9466
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.3418     | 0.3154          | 0.3655          | 0.1041       | 0.1620   | 0.9285         | 0     |
 | 0.1601     | 0.2601          | 0.5083          | 0.4043       | 0.4504   | 0.9433         | 1     |
+| 0.1199     | 0.2580          | 0.5808          | 0.4342       | 0.4969   | 0.9466         | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:0f83b3a1812e3a794b8eea4672b4434f22805f9f85cee6ea55139a240491ae8c
 size 265618704