Training in progress epoch 9

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: 0.1358
-- Validation Loss: 4.2157
-- Train Accuracy: 0.288
-- Epoch: 8
+- Train Loss: 0.1025
+- Validation Loss: 4.4572
+- Train Accuracy: 0.275
+- Epoch: 9
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.2386     | 3.6746          | 0.299          | 6     |
 | 0.1708     | 4.0410          | 0.287          | 7     |
 | 0.1358     | 4.2157          | 0.288          | 8     |
+| 0.1025     | 4.4572          | 0.275          | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:c93e5a5bd6644d9d70c091d26e3435cef2926b0a3fe67b583322271be9ffffde
 size 267948736