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 [microsoft/deberta-v3-xsmall](https://huggingface.co/microsoft/deberta-v3-xsmall) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2811
-- Train Accuracy: 0.932
-- Validation Loss: 0.2170
-- Validation Accuracy: 0.9320
-- Train Precision: 0.9343
-- Train Recall: 0.932
-- Train F1: 0.9317
-- Epoch: 1
+- Train Loss: 0.1950
+- Train Accuracy: 0.933
+- Validation Loss: 0.2168
+- Validation Accuracy: 0.9330
+- Train Precision: 0.9356
+- Train Recall: 0.933
+- Train F1: 0.9326
+- Epoch: 2
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
 | 0.9796     | 0.8995         | 0.3173          | 0.8995              | 0.8999          | 0.8995       | 0.8989   | 0     |
 | 0.2811     | 0.932          | 0.2170          | 0.9320              | 0.9343          | 0.932        | 0.9317   | 1     |
+| 0.1950     | 0.933          | 0.2168          | 0.9330              | 0.9356          | 0.933        | 0.9326   | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:724ee1d54eb377075859eff6121eadc8c7fdbdf50a79d02f01075cb25d538848
+oid sha256:00eafbe058afe010896920d1da66a07d0eab542fac25dc52a0bc42916385de24
 size 283635496