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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.2020
-- Validation Loss: 0.1338
-- Train Accuracy: 0.9625
-- Epoch: 2
+- Train Loss: 2.2729
+- Validation Loss: 0.8218
+- Train Accuracy: 0.8821
+- Epoch: 0
 
 ## Model description
 
@@ -44,9 +44,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 2.2694     | 0.7885          | 0.9244         | 0     |
-| 0.4981     | 0.2252          | 0.9613         | 1     |
-| 0.2020     | 0.1338          | 0.9625         | 2     |
+| 2.2729     | 0.8218          | 0.8821         | 0     |
 
 
 ### Framework versions

config.json

@@ -49,8 +49,8 @@
     "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,
   "label2id": {
@@ -94,8 +94,8 @@
     "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
   },
   "max_position_embeddings": 512,
   "model_type": "distilbert",

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6b69c780be8efcd0f63adad7506e1d504ef821c9bf14a58e5de113a566d54c52
-size 268074688
+oid sha256:8815b1b473bf501ccd4ccc0b9874c9affe92da75abc7c10ca58999473b23ada3
+size 268078024