Training in progress epoch 35

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: 0.0102
-- Validation Loss: 0.4304
-- Train Accuracy: 0.935
-- Epoch: 34
+- Train Loss: 0.0158
+- Validation Loss: 0.4239
+- Train Accuracy: 0.933
+- Epoch: 35
 
 ## Model description
 
@@ -79,6 +79,7 @@ The following hyperparameters were used during training:
 | 0.0146     | 0.5022          | 0.9325         | 32    |
 | 0.0130     | 0.5585          | 0.9305         | 33    |
 | 0.0102     | 0.4304          | 0.935          | 34    |
+| 0.0158     | 0.4239          | 0.933          | 35    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:dac5f4508a7fdf729d344442ad8bd1dfa79899ebe373cabf400ff0a8621a3e4b
 size 267964096