Training in progress epoch 34

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: 8.7798
-- Train Accuracy: 0.0231
-- Validation Loss: 8.7506
-- Validation Accuracy: 0.0221
-- Epoch: 32
+- Train Loss: 8.7333
+- Train Accuracy: 0.0228
+- Validation Loss: 8.6801
+- Validation Accuracy: 0.0223
+- Epoch: 34
 
 ## Model description
 
@@ -77,6 +77,8 @@ The following hyperparameters were used during training:
 | 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    |
+| 8.7535     | 0.0231         | 8.7055          | 0.0222              | 33    |
+| 8.7333     | 0.0228         | 8.6801          | 0.0223              | 34    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b6c54d51b1c19d7bbb48c52d83c47e82991c4b6603fcfe587f95ea47aa436b05
 size 499741936