Training in progress epoch 0

README.md

@@ -15,10 +15,10 @@ 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: 0.3703
-- Validation Loss: 0.2674
-- Train Accuracy: 1.0
-- Epoch: 2
+- Train Loss: 0.6908
+- Validation Loss: 0.6074
+- Train Accuracy: 0.5833
+- Epoch: 0
 
 ## Model description
 
@@ -44,9 +44,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.6785     | 0.5515          | 0.8056         | 0     |
-| 0.4940     | 0.3944          | 0.9722         | 1     |
-| 0.3703     | 0.2674          | 1.0            | 2     |
+| 0.6908     | 0.6074          | 0.5833         | 0     |
 
 
 ### Framework versions

config.json

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

tf_model.h5

@@ -1,3 +1,3 @@
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+oid sha256:88326cc101e4988124c801c3b5b3af04d1da69b90c186e7b35a40005a2df0336
 size 737986856