Training in progress epoch 1

README.md

@@ -14,11 +14,11 @@ 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: 0.2296
-- Train Accuracy: 0.9150
-- Validation Loss: 0.6767
-- Validation Accuracy: 0.7852
-- Epoch: 0
+- Train Loss: 0.1279
+- Train Accuracy: 0.9563
+- Validation Loss: 0.7934
+- Validation Accuracy: 0.7770
+- Epoch: 1
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 0.2296     | 0.9150         | 0.6767          | 0.7852              | 0     |
+| 0.1279     | 0.9563         | 0.7934          | 0.7770              | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:eeb952300aba8568209b4cfc532ffc8c7b7839ed03820edd28d29534d8c39c21
 size 267959464