Training in progress epoch 83

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: 7.9798
-- Train Accuracy: 0.0237
-- Validation Loss: 7.9742
-- Validation Accuracy: 0.0224
-- Epoch: 81
+- Train Loss: 7.9500
+- Train Accuracy: 0.0235
+- Validation Loss: 7.9505
+- Validation Accuracy: 0.0223
+- Epoch: 83
 
 ## Model description
 
@@ -126,6 +126,8 @@ The following hyperparameters were used during training:
 | 8.0276     | 0.0229         | 8.0099          | 0.0221              | 79    |
 | 8.0213     | 0.0231         | 7.9930          | 0.0222              | 80    |
 | 7.9798     | 0.0237         | 7.9742          | 0.0224              | 81    |
+| 8.0135     | 0.0226         | 7.9857          | 0.0218              | 82    |
+| 7.9500     | 0.0235         | 7.9505          | 0.0223              | 83    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:78daa9c9ab9bf1910e07292b72e58dc97b33e652a2ccdedd6fdfcb226805f06b
 size 499741936