Training in progress epoch 35

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0069
-- Validation Loss: 0.8430
-- Train Accuracy: 0.901
-- Epoch: 34
+- Train Loss: 0.0100
+- Validation Loss: 0.7795
+- Train Accuracy: 0.8975
+- Epoch: 35
 
 ## Model description
 
@@ -79,6 +79,7 @@ The following hyperparameters were used during training:
 | 0.0136     | 0.7531          | 0.9085         | 32    |
 | 0.0119     | 0.7965          | 0.8905         | 33    |
 | 0.0069     | 0.8430          | 0.901          | 34    |
+| 0.0100     | 0.7795          | 0.8975         | 35    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:9f2a7767ef7ffd5958b7ad1e18c796d1aad129ecc32ae7b065f824b4ebe85fe1
 size 267964096