Training in progress epoch 0

README.md

@@ -15,10 +15,17 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0741
-- Validation Loss: 0.2302
-- Train Accuracy: 0.9255
-- Epoch: 3
+- Train Loss: 0.3612
+- Train Accuracy: 0.8415
+- Train F1 M: 0.5169
+- Train Precision M: 0.3925
+- Train Recall M: 0.8303
+- Validation Loss: 0.2233
+- Validation Accuracy: 0.9169
+- Validation F1 M: 0.5623
+- Validation Precision M: 0.4054
+- Validation Recall M: 0.9621
+- Epoch: 0
 
 ## Model description
 
@@ -42,12 +49,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Train Loss | Validation Loss | Train Accuracy | Epoch |
-|:----------:|:---------------:|:--------------:|:-----:|
-| 0.3694     | 0.2526          | 0.8832         | 0     |
-| 0.1923     | 0.2342          | 0.9083         | 1     |
-| 0.1188     | 0.2038          | 0.9228         | 2     |
-| 0.0741     | 0.2302          | 0.9255         | 3     |
+| Train Loss | Train Accuracy | Train F1 M | Train Precision M | Train Recall M | Validation Loss | Validation Accuracy | Validation F1 M | Validation Precision M | Validation Recall M | Epoch |
+|:----------:|:--------------:|:----------:|:-----------------:|:--------------:|:---------------:|:-------------------:|:---------------:|:----------------------:|:-------------------:|:-----:|
+| 0.3612     | 0.8415         | 0.5169     | 0.3925            | 0.8303         | 0.2233          | 0.9169              | 0.5623          | 0.4054                 | 0.9621              | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:3e06fa17946b5c26cb0f247006ea3a6e3e34b047cc3d851f40ad2556a0fa465a
 size 1341127728