Training in progress epoch 9

README.md

@@ -14,13 +14,13 @@ 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: 0.0677
-- Validation Loss: 0.5871
-- Train Precision: 0.7623
-- Train Recall: 0.7151
-- Train F1: 0.7329
-- Train Accuracy: 0.8683
-- Epoch: 8
+- Train Loss: 0.0567
+- Validation Loss: 0.5936
+- Train Precision: 0.7024
+- Train Recall: 0.6946
+- Train F1: 0.6975
+- Train Accuracy: 0.8673
+- Epoch: 9
 
 ## Model description
 
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 0.0973     | 0.5540          | 0.7132          | 0.6916       | 0.6988   | 0.8654         | 6     |
 | 0.0831     | 0.5651          | 0.7017          | 0.6989       | 0.6992   | 0.8673         | 7     |
 | 0.0677     | 0.5871          | 0.7623          | 0.7151       | 0.7329   | 0.8683         | 8     |
+| 0.0567     | 0.5936          | 0.7024          | 0.6946       | 0.6975   | 0.8673         | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ea038151f04d33d2f109fa0c0a8a317336d4a0f867f485b72f056d03217ec5c4
 size 268007104