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: 0.5521
-- Validation Loss: 0.4424
-- Train Precision: 0.8027
-- Train Recall: 0.8556
-- Train F1: 0.8283
-- Train Accuracy: 0.8423
-- Epoch: 0
+- Train Loss: 0.4277
+- Validation Loss: 0.4185
+- Train Precision: 0.8221
+- Train Recall: 0.8584
+- Train F1: 0.8398
+- Train Accuracy: 0.8498
+- 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 |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.5521     | 0.4424          | 0.8027          | 0.8556       | 0.8283   | 0.8423         | 0     |
+| 0.4277     | 0.4185          | 0.8221          | 0.8584       | 0.8398   | 0.8498         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:01d8bd5343fc0c02ab43d60cdb6afb01c14ffbe87816264bd660936fb925319a
+oid sha256:40c8897ae493b69ea0be4d465695a0e12c7ab008b6e6062e87c7c4994c82e92d
 size 265627920