Training in progress epoch 1

README.md

@@ -15,10 +15,10 @@ 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: 1.0998
-- Validation Loss: 1.0899
-- Train Accuracy: 0.5
-- Epoch: 0
+- Train Loss: 1.0781
+- Validation Loss: 1.0836
+- Train Accuracy: 0.5625
+- Epoch: 1
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 1.0998     | 1.0899          | 0.5            | 0     |
+| 1.0781     | 1.0836          | 0.5625         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b7e0b2a6a82cc6041106f1477fe8f9c231a7562cc60da6e483ee121bef0f5cb0
 size 267948736