Training in progress epoch 35

README.md

@@ -15,11 +15,11 @@ 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: 6.4096
-- Train Accuracy: 0.0322
-- Validation Loss: 6.3557
-- Validation Accuracy: 0.0320
-- Epoch: 34
+- Train Loss: 6.3614
+- Train Accuracy: 0.0321
+- Validation Loss: 6.3093
+- Validation Accuracy: 0.0322
+- Epoch: 35
 
 ## Model description
 
@@ -80,6 +80,7 @@ The following hyperparameters were used during training:
 | 6.5578     | 0.0312         | 6.4946          | 0.0312              | 32    |
 | 6.4674     | 0.0319         | 6.4212          | 0.0314              | 33    |
 | 6.4096     | 0.0322         | 6.3557          | 0.0320              | 34    |
+| 6.3614     | 0.0321         | 6.3093          | 0.0322              | 35    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ada4a547a05c8d47162e2c7fad47aa4871d779ffb7e79259cd0073573bfb5ab6
 size 499741936