End of training

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: 0.5111
-- Validation Loss: 0.5099
-- Train Matthews Correlation: 0.4325
-- Epoch: 0
+- Train Loss: 0.1871
+- Validation Loss: 0.4889
+- Train Matthews Correlation: 0.5644
+- Epoch: 2
 
 ## Model description
 
@@ -44,6 +44,8 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Matthews Correlation | Epoch |
 |:----------:|:---------------:|:--------------------------:|:-----:|
 | 0.5111     | 0.5099          | 0.4325                     | 0     |
+| 0.3227     | 0.4561          | 0.5453                     | 1     |
+| 0.1871     | 0.4889          | 0.5644                     | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1658303440.8ec0dbcb2bb4.72.0.v2

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tf_model.h5

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