Training in progress epoch 0

README.md

@@ -15,12 +15,12 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.3387
-- Validation Loss: 0.2951
-- Train Precision: 0.5370
-- Train Recall: 0.2428
-- Train F1: 0.3344
-- Train Accuracy: 0.9360
+- Train Loss: 0.1486
+- Validation Loss: 0.2595
+- Train Precision: 0.6829
+- Train Recall: 0.3864
+- Train F1: 0.4935
+- Train Accuracy: 0.9451
 - Epoch: 0
 
 ## Model description
@@ -47,7 +47,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
-| 0.3387     | 0.2951          | 0.5370          | 0.2428       | 0.3344   | 0.9360         | 0     |
+| 0.1486     | 0.2595          | 0.6829          | 0.3864       | 0.4935   | 0.9451         | 0     |
 
 
 ### Framework versions

tf_model.h5

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