Training in progress epoch 1

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: 0.3497
-- Validation Loss: 0.3273
-- Train Precision: 0.3151
-- Train Recall: 0.0275
-- Train F1: 0.0506
-- Train Accuracy: 0.9219
-- Epoch: 0
+- Train Loss: 0.1715
+- Validation Loss: 0.2791
+- Train Precision: 0.4513
+- Train Recall: 0.3050
+- Train F1: 0.3640
+- Train Accuracy: 0.9385
+- Epoch: 1
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.3497     | 0.3273          | 0.3151          | 0.0275       | 0.0506   | 0.9219         | 0     |
+| 0.1715     | 0.2791          | 0.4513          | 0.3050       | 0.3640   | 0.9385         | 1     |
 
 
 ### Framework versions

tf_model.h5

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