Training in progress epoch 1

README.md

@@ -15,12 +15,12 @@ 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: 1.5694
-- Train Accuracy: 0.7401
-- Validation Loss: 0.8680
-- Validation Accuracy: 0.7401
-- Train F1: 0.7401
-- Epoch: 0
+- Train Loss: 0.7006
+- Train Accuracy: 0.7670
+- Validation Loss: 0.7363
+- Validation Accuracy: 0.7670
+- Train F1: 0.7670
+- Epoch: 1
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Train F1 | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:--------:|:-----:|
 | 1.5694     | 0.7401         | 0.8680          | 0.7401              | 0.7401   | 0     |
+| 0.7006     | 0.7670         | 0.7363          | 0.7670              | 0.7670   | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:3f2e1682e07cd5d973d15f29d96f69473b0e1bb1172eb9a53acd5536818f7a20
 size 267973312