Training in progress epoch 2

README.md

@@ -14,10 +14,10 @@ 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: 1.7907
-- Validation Loss: 1.6987
-- Train Accuracy: 0.475
-- Epoch: 1
+- Train Loss: 1.3820
+- Validation Loss: 1.4044
+- Train Accuracy: 0.6
+- Epoch: 2
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 2.2603     | 2.0505          | 0.45           | 0     |
 | 1.7907     | 1.6987          | 0.475          | 1     |
+| 1.3820     | 1.4044          | 0.6            | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:f661ec0f3a2c5a34624cff57c96ba151519f6ca9fabf8303d82e2afabb91bced
 size 267982528