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 [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.3465
-- Validation Loss: 0.4351
-- Train Accuracy: 0.8317
-- Epoch: 2
+- Train Loss: 0.2712
+- Validation Loss: 0.4705
+- Train Accuracy: 0.8264
+- Epoch: 3
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | 0.5312     | 0.4792          | 0.8117         | 0     |
 | 0.4204     | 0.4335          | 0.8344         | 1     |
 | 0.3465     | 0.4351          | 0.8317         | 2     |
+| 0.2712     | 0.4705          | 0.8264         | 3     |
 
 
 ### Framework versions

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tf_model.h5

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