Training in progress epoch 3

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: 0.6707
-- Validation Loss: 0.7045
-- Train Accuracy: 0.5128
-- Epoch: 0
+- Train Loss: 0.3711
+- Validation Loss: 0.4883
+- Train Accuracy: 0.6923
+- Epoch: 3
 
 ## Model description
 
@@ -44,6 +44,9 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.6707     | 0.7045          | 0.5128         | 0     |
+| 0.6048     | 0.6772          | 0.5897         | 1     |
+| 0.4599     | 0.4915          | 0.7692         | 2     |
+| 0.3711     | 0.4883          | 0.6923         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:fd472fb1fff4a891567231afd6d9ace3c64cc031a6661b8f582f2bfa17ec39d5
 size 267955144