Training in progress epoch 3

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: 0.7721
-- Validation Loss: 0.8076
-- Train Accuracy: 0.5625
-- Epoch: 2
+- Train Loss: 0.5073
+- Validation Loss: 0.7224
+- Train Accuracy: 0.625
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 1.0912     | 1.0633          | 0.625          | 0     |
 | 0.9973     | 0.9302          | 0.5625         | 1     |
 | 0.7721     | 0.8076          | 0.5625         | 2     |
+| 0.5073     | 0.7224          | 0.625          | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:c179349215635426e05e5b8b7cc84cc7ebe343d0672408518ecd0351f30623fe
 size 267948736