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: 0.1284
-- Validation Loss: 0.1327
-- Train Precision: 0.4396
-- Train Recall: 0.4969
-- Train F1: 0.4665
-- Train Accuracy: 0.9565
-- Epoch: 4
+- Train Loss: 0.3886
+- Validation Loss: 0.2033
+- Train Precision: 0.2760
+- Train Recall: 0.3292
+- Train F1: 0.3003
+- Train Accuracy: 0.9494
+- Epoch: 0
 
 ## Model description
 
@@ -46,11 +46,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
-| 0.3758     | 0.1680          | 0.3967          | 0.2981       | 0.3404   | 0.9543         | 0     |
-| 0.1853     | 0.1357          | 0.4552          | 0.4099       | 0.4314   | 0.9558         | 1     |
-| 0.1397     | 0.1327          | 0.4396          | 0.4969       | 0.4665   | 0.9565         | 2     |
-| 0.1287     | 0.1327          | 0.4396          | 0.4969       | 0.4665   | 0.9565         | 3     |
-| 0.1284     | 0.1327          | 0.4396          | 0.4969       | 0.4665   | 0.9565         | 4     |
+| 0.3886     | 0.2033          | 0.2760          | 0.3292       | 0.3003   | 0.9494         | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:59a05f589b46c76efb70db5538dbef7ce9a7e4d117fb3d0b2e6a26c0f47cf5da
 size 265643280