Training in progress epoch 9

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: 10.0099
-- Train Accuracy: 0.0002
-- Validation Loss: 9.9074
-- Validation Accuracy: 0.0023
-- Epoch: 7
+- Train Loss: 9.8209
+- Train Accuracy: 0.0113
+- Validation Loss: 9.6999
+- Validation Accuracy: 0.0188
+- Epoch: 9
 
 ## Model description
 
@@ -52,6 +52,8 @@ The following hyperparameters were used during training:
 | 10.1449    | 0.0000         | 10.0705         | 0.0000              | 5     |
 | 10.0750    | 0.0000         | 9.9926          | 0.0001              | 6     |
 | 10.0099    | 0.0002         | 9.9074          | 0.0023              | 7     |
+| 9.9197     | 0.0025         | 9.7964          | 0.0146              | 8     |
+| 9.8209     | 0.0113         | 9.6999          | 0.0188              | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ee1c08e4315d03a051ebef77bcfb5fccb8234dbc7d83f5abf143b68447cc7daf
 size 499741936