Training in progress epoch 1

README.md

@@ -15,14 +15,14 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Vasanth/bert-base-uncased-finetuned-emotion](https://huggingface.co/Vasanth/bert-base-uncased-finetuned-emotion) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2174
-- Train Accuracy: 0.941
-- Validation Loss: 0.1580
-- Validation Accuracy: 0.9410
-- Train Precision: 0.9423
-- Train Recall: 0.941
-- Train F1: 0.9406
-- Epoch: 0
+- Train Loss: 0.1314
+- Train Accuracy: 0.9435
+- Validation Loss: 0.1506
+- Validation Accuracy: 0.9435
+- Train Precision: 0.9463
+- Train Recall: 0.9435
+- Train F1: 0.9428
+- Epoch: 1
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Train Precision | Train Recall | Train F1 | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
 | 0.2174     | 0.941          | 0.1580          | 0.9410              | 0.9423          | 0.941        | 0.9406   | 0     |
+| 0.1314     | 0.9435         | 0.1506          | 0.9435              | 0.9463          | 0.9435       | 0.9428   | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 438235432