Training in progress epoch 0

README.md

@@ -14,9 +14,9 @@ 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: nan
-- Validation Loss: nan
-- Train Accuracy: 0.25
+- Train Loss: 0.2153
+- Validation Loss: 0.1717
+- Train Accuracy: 0.9391
 - Epoch: 0
 
 ## Model description
@@ -43,7 +43,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| nan        | nan             | 0.25           | 0     |
+| 0.2153     | 0.1717          | 0.9391         | 0     |
 
 
 ### Framework versions

config.json

@@ -9,13 +9,17 @@
   "dropout": 0.1,
   "hidden_dim": 3072,
   "id2label": {
-    "0": "NEGATIVE",
-    "1": "POSITIVE"
+    "0": "World",
+    "1": "Sports",
+    "2": "Business",
+    "3": "Sci/Tech"
   },
   "initializer_range": 0.02,
   "label2id": {
-    "NEGATIVE": 0,
-    "POSITIVE": 1
+    "Business": 2,
+    "Sci/Tech": 3,
+    "Sports": 1,
+    "World": 0
   },
   "max_position_embeddings": 512,
   "model_type": "distilbert",

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5c6015fb6a95e441675c3f4dbb8ea3f86ee75a97828f4b11df650d8c79e2a085
-size 267955144
+oid sha256:39fdf183c248457af446f79f8955643f68ff2e6f9e323437acb44f8dfe06101f
+size 267957952