Training in progress epoch 0

README.md

@@ -15,8 +15,8 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0477
-- Validation Loss: 0.0205
+- Train Loss: 0.0329
+- Validation Loss: 0.0129
 - Epoch: 0
 
 ## Model description
@@ -43,7 +43,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 0.0477     | 0.0205          | 0     |
+| 0.0329     | 0.0129          | 0     |
 
 
 ### Framework versions

config.json

@@ -11,14 +11,12 @@
   "hidden_size": 768,
   "id2label": {
     "0": "TRUE",
-    "1": "FALSE",
-    "2": "OTHER"
+    "1": "FALSE"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
     "FALSE": 1,
-    "OTHER": 2,
     "TRUE": 0
   },
   "layer_norm_eps": 1e-12,

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:128ce368c59307f2420cc33e8e95017246beb11772206e9556417ddf3f82950a
-size 435864032
+oid sha256:85544ffaab7d333a39f5352c4afd7a43a769c86e7b1dba67dcf7bd56efb1f061
+size 435860960