Training in progress epoch 32

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: 8.8726
-- Train Accuracy: 0.0227
-- Validation Loss: 8.8118
-- Validation Accuracy: 0.0220
-- Epoch: 30
+- Train Loss: 8.7798
+- Train Accuracy: 0.0231
+- Validation Loss: 8.7506
+- Validation Accuracy: 0.0221
+- Epoch: 32
 
 ## Model description
 
@@ -75,6 +75,8 @@ The following hyperparameters were used during training:
 | 8.9625     | 0.0229         | 8.8969          | 0.0221              | 28    |
 | 8.9098     | 0.0230         | 8.8341          | 0.0223              | 29    |
 | 8.8726     | 0.0227         | 8.8118          | 0.0220              | 30    |
+| 8.8574     | 0.0223         | 8.7910          | 0.0219              | 31    |
+| 8.7798     | 0.0231         | 8.7506          | 0.0221              | 32    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3248e6bcab89f4b975b48e7bb8634e476eb4d1e983a7da1afbaa083c3695880f
+oid sha256:0a467d7a54f8713fc81174b596d1b13603fc0e063a9114eb2aee7a7e9229ec55
 size 499741936