Training in progress epoch 0

README.md

@@ -15,12 +15,12 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.5126
-- Validation Loss: 0.3786
-- Train Precision: 1.0
-- Train Recall: 0.75
-- Train F1: 0.8571
-- Epoch: 1
+- Train Loss: 0.7257
+- Validation Loss: 0.6381
+- Train Precision: 0.5556
+- Train Recall: 1.0
+- Train F1: 0.7143
+- Epoch: 0
 
 ## Model description
 
@@ -46,8 +46,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:-----:|
-| 0.6636     | 0.5905          | 0.0             | 0.0          | 0.0      | 0     |
-| 0.5126     | 0.3786          | 1.0             | 0.75         | 0.8571   | 1     |
+| 0.7257     | 0.6381          | 0.5556          | 1.0          | 0.7143   | 0     |
 
 
 ### Framework versions

config.json

@@ -8,14 +8,14 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "Personal Financial Advice",
-    "1": "General Financial Advice"
+    "0": "General Financial Advice",
+    "1": "Personal Financial Advice"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "General Financial Advice": 1,
-    "Personal Financial Advice": 0
+    "General Financial Advice": 0,
+    "Personal Financial Advice": 1
   },
   "layer_norm_eps": 1e-07,
   "max_position_embeddings": 512,

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e00a38603355cd63140b560eb3eb0a43282bacbd70ed219d47f7f18d46a2bea2
 size 737986856