Training in progress epoch 57

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: 8.3139
-- Train Accuracy: 0.0226
-- Validation Loss: 8.2844
-- Validation Accuracy: 0.0222
-- Epoch: 56
+- Train Loss: 8.3170
+- Train Accuracy: 0.0229
+- Validation Loss: 8.2740
+- Validation Accuracy: 0.0221
+- Epoch: 57
 
 ## Model description
 
@@ -101,6 +101,7 @@ The following hyperparameters were used during training:
 | 8.3551     | 0.0231         | 8.3382          | 0.0221              | 54    |
 | 8.3186     | 0.0231         | 8.3136          | 0.0219              | 55    |
 | 8.3139     | 0.0226         | 8.2844          | 0.0222              | 56    |
+| 8.3170     | 0.0229         | 8.2740          | 0.0221              | 57    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ada63b9be6a76c99d3440d57276f4252eb785805788988fee580e0eccaf62203
+oid sha256:5a6f9d14dbb0fe113731c32356720fa1d117348472c8f8bbbda8b684d788402d
 size 499741936