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: 0.1194
-- Train Accuracy: 0.9415
-- Validation Loss: 0.1589
-- Validation Accuracy: 0.9415
-- Train Precision: 0.9434
-- Train Recall: 0.9415
-- Train F1: 0.9409
-- Epoch: 1
+- Train Loss: 0.0990
+- Train Accuracy: 0.947
+- Validation Loss: 0.1458
+- Validation Accuracy: 0.9470
+- Train Precision: 0.9490
+- Train Recall: 0.947
+- Train F1: 0.9466
+- Epoch: 2
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
 | 0.1750     | 0.943          | 0.1579          | 0.9430              | 0.9447          | 0.943        | 0.9426   | 0     |
 | 0.1194     | 0.9415         | 0.1589          | 0.9415              | 0.9434          | 0.9415       | 0.9409   | 1     |
+| 0.0990     | 0.947          | 0.1458          | 0.9470              | 0.9490          | 0.947        | 0.9466   | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:4ba8c87a8af5d9ef4866f89aadbf76fe6d5da761ba93a34d95f8aab66ce49a10
 size 438235432