Training in progress epoch 10

README.md

@@ -15,11 +15,11 @@ 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: 8.3594
-- Train Accuracy: 0.0230
-- Validation Loss: 8.3069
-- Validation Accuracy: 0.0221
-- Epoch: 9
+- Train Loss: 8.2662
+- Train Accuracy: 0.0231
+- Validation Loss: 8.2092
+- Validation Accuracy: 0.0224
+- Epoch: 10
 
 ## Model description
 
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 8.5689     | 0.0229         | 8.4904          | 0.0222              | 7     |
 | 8.4525     | 0.0230         | 8.3865          | 0.0223              | 8     |
 | 8.3594     | 0.0230         | 8.3069          | 0.0221              | 9     |
+| 8.2662     | 0.0231         | 8.2092          | 0.0224              | 10    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:3bea6276b91d9a0d15497a2257fd3df48beac84ac55cf47d9586aba0c4acdeac
 size 499741936