Training in progress epoch 28

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: 9.0447
-- Train Accuracy: 0.0234
-- Validation Loss: 8.9867
-- Validation Accuracy: 0.0218
-- Epoch: 26
+- Train Loss: 8.9625
+- Train Accuracy: 0.0229
+- Validation Loss: 8.8969
+- Validation Accuracy: 0.0221
+- Epoch: 28
 
 ## Model description
 
@@ -71,6 +71,8 @@ The following hyperparameters were used during training:
 | 9.1515     | 0.0236         | 9.0827          | 0.0223              | 24    |
 | 9.1171     | 0.0228         | 9.0406          | 0.0218              | 25    |
 | 9.0447     | 0.0234         | 8.9867          | 0.0218              | 26    |
+| 9.0119     | 0.0229         | 8.9307          | 0.0221              | 27    |
+| 8.9625     | 0.0229         | 8.8969          | 0.0221              | 28    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ac9c5d0bb383e74920584097fe5e89c3896c52f0b9bafa2bcac0abf8fe2efcd2
+oid sha256:9ba13c98f7f4e765ed678ad1a1dbe0d9972478e005fd3cd40ab486fe30c3cfdb
 size 499741936