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 [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: 0.4235
-- Validation Loss: 0.2163
-- Train Accuracy: 0.9631
-- Epoch: 2
+- Train Loss: 3.0330
+- Validation Loss: 1.8019
+- Train Accuracy: 0.7476
+- Epoch: 0
 
 ## Model description
 
@@ -44,9 +44,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 3.0564     | 1.7752          | 0.8333         | 0     |
-| 1.1787     | 0.4896          | 0.9482         | 1     |
-| 0.4235     | 0.2163          | 0.9631         | 2     |
+| 3.0330     | 1.8019          | 0.7476         | 0     |
 
 
 ### Framework versions

config.json

@@ -50,8 +50,8 @@
     "37": "Return on Involvement",
     "38": "Recruitment Process Outsourcing",
     "39": "Request for Purchase Order",
-    "41": "Small and Medium-sized Enterprises",
-    "42": "Subject Matter Expert"
+    "40": "Small and Medium-sized Enterprises",
+    "41": "Subject Matter Expert"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
@@ -96,8 +96,8 @@
     "Return on Investment": 36,
     "Return on Involvement": 37,
     "Risk Assessment": 35,
-    "Small and Medium-sized Enterprises": 41,
-    "Subject Matter Expert": 42
+    "Small and Medium-sized Enterprises": 40,
+    "Subject Matter Expert": 41
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,

tf_model.h5

@@ -1,3 +1,3 @@
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+oid sha256:b519922e0fe12869dd2f24e09b2df8e40bd3f3af3f5b015efb212ae128f56be4
 size 438347984