Training in progress epoch 0

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: 0.1138
-- Validation Loss: 0.2493
-- Train Precision: 0.5828
-- Train Recall: 0.4629
-- Train F1: 0.516
-- Train Accuracy: 0.9485
-- Epoch: 2
+- Train Loss: 0.3513
+- Validation Loss: 0.3180
+- Train Precision: 0.3947
+- Train Recall: 0.0718
+- Train F1: 0.1215
+- Train Accuracy: 0.9260
+- Epoch: 0
 
 ## Model description
 
@@ -46,9 +46,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
-| 0.3522     | 0.3130          | 0.3303          | 0.0873       | 0.1381   | 0.9273         | 0     |
-| 0.1563     | 0.2596          | 0.5726          | 0.4055       | 0.4748   | 0.9449         | 1     |
-| 0.1138     | 0.2493          | 0.5828          | 0.4629       | 0.516    | 0.9485         | 2     |
+| 0.3513     | 0.3180          | 0.3947          | 0.0718       | 0.1215   | 0.9260         | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:8e1a1d3f0a7eabb2c38cbbd5cf09df2245e4771a875b5a6bfca8ad9dea6d23f6
 size 265618704