End of training

README.md

@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 4.1322
-- Train Accuracy: 0.0446
+- Train Loss: 3.8951
+- Train Accuracy: 0.0451
 - Validation Loss: 4.3546
 - Validation Accuracy: 0.0447
-- Epoch: 0
+- Epoch: 9
 
 ## Model description
 
@@ -45,6 +45,15 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 4.1322     | 0.0446         | 4.3546          | 0.0447              | 0     |
+| 3.8960     | 0.0449         | 4.3546          | 0.0447              | 1     |
+| 3.8963     | 0.0451         | 4.3546          | 0.0447              | 2     |
+| 3.8952     | 0.0451         | 4.3546          | 0.0447              | 3     |
+| 3.8945     | 0.0451         | 4.3546          | 0.0447              | 4     |
+| 3.8949     | 0.0451         | 4.3546          | 0.0447              | 5     |
+| 3.8939     | 0.0451         | 4.3546          | 0.0447              | 6     |
+| 3.8947     | 0.0449         | 4.3546          | 0.0447              | 7     |
+| 3.8942     | 0.0449         | 4.3546          | 0.0447              | 8     |
+| 3.8951     | 0.0451         | 4.3546          | 0.0447              | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:573e161153b6e9047ce7c8d18f4ca8c1b9486ec502f28e1132d1401c41b3385d
+oid sha256:2eeb06cda5e9aece2b9c9129d27bb8e18beb65471d89224d480ceb1e61345134
 size 497935464