Training in progress epoch 61

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: 8.2648
+- Train Loss: 8.2446
 - Train Accuracy: 0.0233
-- Validation Loss: 8.2336
+- Validation Loss: 8.2135
 - Validation Accuracy: 0.0223
-- Epoch: 59
+- Epoch: 61
 
 ## Model description
 
@@ -104,6 +104,8 @@ The following hyperparameters were used during training:
 | 8.3170     | 0.0229         | 8.2740          | 0.0221              | 57    |
 | 8.2886     | 0.0231         | 8.2485          | 0.0223              | 58    |
 | 8.2648     | 0.0233         | 8.2336          | 0.0223              | 59    |
+| 8.2714     | 0.0225         | 8.2321          | 0.0221              | 60    |
+| 8.2446     | 0.0233         | 8.2135          | 0.0223              | 61    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7ea35f9f871f5d2db6627f389cfe0463b48649c6979ecc306a06fe1e8bd11b01
+oid sha256:793b17955e5ed23528b71743891a54511f0c00c070eaea9dbdb91d71d7827090
 size 499741936