Cielciel/aift-model-review-multiple-label-classification

README.md

@@ -15,8 +15,8 @@ should 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1798
-- Accuracy Thresh: 0.9327
+- Loss: 0.1719
+- Accuracy Thresh: 0.9378
 
 ## Model description
 
@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh |
 |:-------------:|:-----:|:----:|:---------------:|:---------------:|
-| No log        | 1.0   | 70   | 0.4152          | 0.8000          |
-| No log        | 2.0   | 140  | 0.3026          | 0.8929          |
-| No log        | 3.0   | 210  | 0.2406          | 0.9204          |
-| No log        | 4.0   | 280  | 0.2176          | 0.9214          |
-| No log        | 5.0   | 350  | 0.2038          | 0.9224          |
-| No log        | 6.0   | 420  | 0.1924          | 0.9337          |
-| No log        | 7.0   | 490  | 0.1900          | 0.9378          |
-| 0.2652        | 8.0   | 560  | 0.1868          | 0.9306          |
-| 0.2652        | 9.0   | 630  | 0.1804          | 0.9337          |
-| 0.2652        | 10.0  | 700  | 0.1798          | 0.9327          |
+| No log        | 1.0   | 70   | 0.4035          | 0.7847          |
+| No log        | 2.0   | 140  | 0.2987          | 0.8867          |
+| No log        | 3.0   | 210  | 0.2408          | 0.9194          |
+| No log        | 4.0   | 280  | 0.2094          | 0.9327          |
+| No log        | 5.0   | 350  | 0.1901          | 0.9306          |
+| No log        | 6.0   | 420  | 0.1834          | 0.9327          |
+| No log        | 7.0   | 490  | 0.1806          | 0.9316          |
+| 0.2595        | 8.0   | 560  | 0.1740          | 0.9408          |
+| 0.2595        | 9.0   | 630  | 0.1723          | 0.9367          |
+| 0.2595        | 10.0  | 700  | 0.1719          | 0.9378          |
 
 
 ### Framework versions

config.json

@@ -9,23 +9,23 @@
   "dropout": 0.1,
   "hidden_dim": 3072,
   "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
-    "2": "LABEL_2",
-    "3": "LABEL_3",
-    "4": "LABEL_4",
-    "5": "LABEL_5",
-    "6": "LABEL_6"
+    "0": "ads",
+    "1": "bugs",
+    "2": "positive",
+    "3": "negative",
+    "4": "graphic",
+    "5": "gameplay",
+    "6": "request"
   },
   "initializer_range": 0.02,
   "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1,
-    "LABEL_2": 2,
-    "LABEL_3": 3,
-    "LABEL_4": 4,
-    "LABEL_5": 5,
-    "LABEL_6": 6
+    "ads": 0,
+    "bugs": 1,
+    "gameplay": 5,
+    "graphic": 4,
+    "negative": 3,
+    "positive": 2,
+    "request": 6
   },
   "max_position_embeddings": 512,
   "model_type": "distilbert",

model.safetensors

@@ -1,3 +1,3 @@
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 size 267847948

runs/Jan08_17-34-27_aift-review-classification-multiple-label/events.out.tfevents.1704735277.aift-review-classification-multiple-label

@@ -0,0 +1,3 @@
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+size 8727

tokenizer.json

@@ -1,6 +1,11 @@
 {
   "version": "1.0",
-  "truncation": null,
+  "truncation": {
+    "direction": "Right",
+    "max_length": 512,
+    "strategy": "LongestFirst",
+    "stride": 0
+  },
   "padding": null,
   "added_tokens": [
     {

training_args.bin

@@ -1,3 +1,3 @@
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 size 4347