Training in progress, epoch 1

README.md

@@ -6,7 +6,7 @@ tags:
 metrics:
 - accuracy
 model-index:
-- name: API_Detector_3_Distilbert
+- name: my_awesome_model
   results: []
 ---
 
@@ -15,15 +15,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 # my_awesome_model
 
-This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on Custom dataset (3 classes).
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.6536
 - Accuracy: 0.9437
 
 ## Model description
 
-Due to lack of training data, this model is not recognizing difference between "order" and "orderline" in sentences. So classify "ORDERLINE" to "MAOORDER" when word "orderline" is in sentence.
-This can be solved by one more 'if' condition in further script and this is more efficient way than more training data and its train.
+More information needed
 
 ## Intended uses & limitations
 

config.json

@@ -9,15 +9,13 @@
   "dropout": 0.1,
   "hidden_dim": 3072,
   "id2label": {
-    "0": "itemtype",
-    "1": "orderline",
-    "2": "maoorder"
+    "0": "NEGATIVE",
+    "1": "POSITIVE"
   },
   "initializer_range": 0.02,
   "label2id": {
-    "itemtype": 0,
-    "maoorder": 2,
-    "orderline": 1
+    "NEGATIVE": 0,
+    "POSITIVE": 1
   },
   "max_position_embeddings": 512,
   "model_type": "distilbert",

model.safetensors

@@ -1,3 +1,3 @@
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+size 267832560

training_args.bin

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 size 4984