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: 1.0860
-- Validation Loss: 1.0894
-- Train Accuracy: 0.625
-- Epoch: 2
+- Train Loss: 1.0497
+- Validation Loss: 1.0375
+- Train Accuracy: 0.6875
+- Epoch: 3
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 1.0993     | 1.0980          | 0.4375         | 0     |
 | 1.1013     | 1.0968          | 0.375          | 1     |
 | 1.0860     | 1.0894          | 0.625          | 2     |
+| 1.0497     | 1.0375          | 0.6875         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:55b26434a79e3959207d5829a7fda0272a83f0e362a0bcf4103304eb2512382e
 size 267948736