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: 0.1750
-- Train Accuracy: 0.943
-- Validation Loss: 0.1579
-- Validation Accuracy: 0.9430
-- Train Precision: 0.9447
-- Train Recall: 0.943
-- Train F1: 0.9426
-- Epoch: 0
+- 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
 
 ## 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 |
 |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
 | 0.1750     | 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     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:64dde5b3e000de3e32a580b5c2aab70d24fc8c4fbeef0df92b711e11b97601cf
 size 438235432