Training in progress epoch 2

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: 0.1314
-- 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
+- Train Loss: 0.1018
+- Train Accuracy: 0.945
+- Validation Loss: 0.1530
+- Validation Accuracy: 0.9450
+- Train Precision: 0.9466
+- Train Recall: 0.945
+- Train F1: 0.9446
+- Epoch: 2
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
 | 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     |
+| 0.1018     | 0.945          | 0.1530          | 0.9450              | 0.9466          | 0.945        | 0.9446   | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:75e09cea609469a6a288257f4ef7461d8a793c86bf03224d216efd682b71d9c4
 size 438235432