End of training

README.md

@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.4378
-- Train Accuracy: 0.9219
-- Validation Loss: 0.0618
+- Train Loss: 0.0309
+- Train Accuracy: 1.0
+- Validation Loss: 0.0001
 - Validation Accuracy: 1.0
-- Epoch: 0
+- Epoch: 1
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 0.4378     | 0.9219         | 0.0618          | 1.0                 | 0     |
+| 0.0309     | 1.0            | 0.0001          | 1.0                 | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:3bd3b43231d1e724d99606eb7e10dd38ba2b45fbb212b570cfd854b910076fd9
 size 263264024