imrazaa/distilbert-base-multilingual-cased-en

README.md

@@ -6,6 +6,7 @@ tags:
 - generated_from_trainer
 metrics:
 - accuracy
+- f1
 model-index:
 - name: distilbert-base-multilingual-cased-en
   results: []
@@ -16,10 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilbert-base-multilingual-cased-en
 
-This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset.
+This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3036
-- Accuracy: 0.8951
+- Loss: 0.3298
+- Accuracy: 0.8909
+- F1: 0.8908
 
 ## Model description
 
@@ -48,11 +50,16 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4277        | 1.0   | 1419 | 0.3316          | 0.8894   |
-| 0.2892        | 2.0   | 2838 | 0.2975          | 0.8991   |
-| 0.2294        | 3.0   | 4257 | 0.3036          | 0.8951   |
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
+| 0.7829        | 0.3524 | 500  | 0.4586          | 0.8596   | 0.8473 |
+| 0.4282        | 0.7047 | 1000 | 0.3733          | 0.8759   | 0.8709 |
+| 0.3631        | 1.0571 | 1500 | 0.3518          | 0.8826   | 0.8810 |
+| 0.3082        | 1.4094 | 2000 | 0.3330          | 0.8854   | 0.8827 |
+| 0.2862        | 1.7618 | 2500 | 0.3304          | 0.8890   | 0.8885 |
+| 0.2545        | 2.1142 | 3000 | 0.3342          | 0.8901   | 0.8887 |
+| 0.2307        | 2.4665 | 3500 | 0.3298          | 0.8909   | 0.8908 |
+| 0.2246        | 2.8189 | 4000 | 0.3253          | 0.8907   | 0.8910 |
 
 
 ### Framework versions

config.json

@@ -9,27 +9,27 @@
   "dropout": 0.1,
   "hidden_dim": 3072,
   "id2label": {
-    "0": "ADJ",
-    "1": "ADP",
-    "2": "ADV",
-    "3": "AUX",
-    "4": "NOUN",
-    "5": "NUM",
-    "6": "PRON",
-    "7": "PROPN",
-    "8": "VERB"
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6",
+    "7": "LABEL_7",
+    "8": "LABEL_8"
   },
   "initializer_range": 0.02,
   "label2id": {
-    "ADJ": 0,
-    "ADP": 1,
-    "ADV": 2,
-    "AUX": 3,
-    "NOUN": 4,
-    "NUM": 5,
-    "PRON": 6,
-    "PROPN": 7,
-    "VERB": 8
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5,
+    "LABEL_6": 6,
+    "LABEL_7": 7,
+    "LABEL_8": 8
   },
   "max_position_embeddings": 512,
   "model_type": "distilbert",

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:1300f6f2b847e3d150c0d54b922084b122d559dcd08ca741a5412f43facf9817
 size 541338908

training_args.bin

@@ -1,3 +1,3 @@
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-oid sha256:5bc2c358d79b770f2a69677ad9066f0dd4a5f94e53f82fc22633b8ffe9036aaf
-size 5240
+oid sha256:95e5dbe2b9175c50e91ec24f3eade556279c9d5418ba8ac10585e879e75b1201
+size 5112