Training in progress epoch 4

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: 5.0231
-- Train Accuracy: 0.0447
-- Validation Loss: 4.9453
-- Validation Accuracy: 0.0446
-- Epoch: 3
+- Train Loss: 4.9323
+- Train Accuracy: 0.0448
+- Validation Loss: 4.8633
+- Validation Accuracy: 0.0443
+- Epoch: 4
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | 5.4335     | 0.0414         | 5.2266          | 0.0439              | 1     |
 | 5.1579     | 0.0445         | 5.0625          | 0.0441              | 2     |
 | 5.0231     | 0.0447         | 4.9453          | 0.0446              | 3     |
+| 4.9323     | 0.0448         | 4.8633          | 0.0443              | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:44fd5a5daca903a6d48f418f9935523765b00e81ad2a087c836717823d341ccb
 size 499741936