Training in progress epoch 16

README.md

@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 4.3462
-- Train Accuracy: 0.0468
-- Validation Loss: 4.0742
-- Validation Accuracy: 0.0515
-- Epoch: 15
+- Train Loss: 3.4139
+- Train Accuracy: 0.0650
+- Validation Loss: 2.6348
+- Validation Accuracy: 0.0797
+- Epoch: 16
 
 ## Model description
 
@@ -60,6 +60,7 @@ The following hyperparameters were used during training:
 | 4.6637     | 0.0449         | 4.7227          | 0.0435              | 13    |
 | 4.5963     | 0.0449         | 4.5195          | 0.0444              | 14    |
 | 4.3462     | 0.0468         | 4.0742          | 0.0515              | 15    |
+| 3.4139     | 0.0650         | 2.6348          | 0.0797              | 16    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:4fb7ec035b2151926cb9ba227f8d1e7c9d79fb4800e34dd482caa3e2d0a3b64b
 size 499741936