Training in progress epoch 100

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: 0.9712
-- Train Accuracy: 0.1153
-- Validation Loss: 0.9375
-- Validation Accuracy: 0.1159
-- Epoch: 99
+- Train Loss: 0.9678
+- Train Accuracy: 0.1154
+- Validation Loss: 0.9453
+- Validation Accuracy: 0.1166
+- Epoch: 100
 
 ## Model description
 
@@ -144,6 +144,7 @@ The following hyperparameters were used during training:
 | 0.9773     | 0.1151         | 0.9438          | 0.1163              | 97    |
 | 0.9740     | 0.1152         | 0.9512          | 0.1169              | 98    |
 | 0.9712     | 0.1153         | 0.9375          | 0.1159              | 99    |
+| 0.9678     | 0.1154         | 0.9453          | 0.1166              | 100   |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:10dffb82e5196ff2389aa80f5f107f93f6547acbed91e694867eb2dfeb23171d
 size 499741936