Training in progress epoch 0

README.md

@@ -14,10 +14,10 @@ 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: 1.6267
-- Validation Loss: 1.5031
-- Train Accuracy: 0.3187
-- Epoch: 3
+- Train Loss: 1.6955
+- Validation Loss: 1.6957
+- Train Accuracy: 0.3521
+- Epoch: 0
 
 ## Model description
 
@@ -43,10 +43,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 2.8682     | 1.7635          | 0.3021         | 0     |
-| 1.7741     | 1.6841          | 0.45           | 1     |
-| 1.5984     | 1.6494          | 0.2812         | 2     |
-| 1.6267     | 1.5031          | 0.3187         | 3     |
+| 1.6955     | 1.6957          | 0.3521         | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:5d4de764d0eebefabb4d14ff78859c97e36d313d9e9ac7d0886aae1a4acfc3ad
 size 267964096