Training in progress epoch 0

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: 0.0682
-- Train Accuracy: 0.9475
-- Validation Loss: 0.1594
-- Validation Accuracy: 0.9475
-- Train Precision: 0.9494
-- Train Recall: 0.9475
-- Train F1: 0.9472
-- Epoch: 2
+- 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
 
 ## Model description
 
@@ -48,9 +48,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Train Precision | Train Recall | Train F1 | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
-| 0.0886     | 0.947          | 0.1570          | 0.9470              | 0.9490          | 0.947        | 0.9467   | 0     |
-| 0.0770     | 0.9475         | 0.1594          | 0.9475              | 0.9494          | 0.9475       | 0.9472   | 1     |
-| 0.0682     | 0.9475         | 0.1594          | 0.9475              | 0.9494          | 0.9475       | 0.9472   | 2     |
+| 0.2174     | 0.941          | 0.1580          | 0.9410              | 0.9423          | 0.941        | 0.9406   | 0     |
 
 
 ### Framework versions

tf_model.h5

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