End of training

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1634
-- Precision: 0.8634
-- Recall: 0.8734
-- F1: 0.8684
-- Accuracy: 0.9791
+- Loss: 0.0393
+- Precision: 0.9106
+- Recall: 0.9165
+- F1: 0.9136
+- Accuracy: 0.9881
 
 ## Model description
 
@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 294  | 0.2447          | 0.8248    | 0.8624 | 0.8432 | 0.9777   |
-| 0.3867        | 2.0   | 588  | 0.1717          | 0.8558    | 0.8727 | 0.8642 | 0.9820   |
-| 0.3867        | 3.0   | 882  | 0.1562          | 0.8605    | 0.8805 | 0.8704 | 0.9827   |
+| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.0503        | 1.0   | 5867  | 0.0463          | 0.9036    | 0.9078 | 0.9057 | 0.9866   |
+| 0.036         | 2.0   | 11734 | 0.0410          | 0.9126    | 0.9156 | 0.9141 | 0.9876   |
+| 0.0254        | 3.0   | 17601 | 0.0413          | 0.9150    | 0.9185 | 0.9168 | 0.9881   |
 
 
 ### Framework versions

config.json

@@ -11,20 +11,20 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
-    "2": "LABEL_2",
-    "3": "LABEL_3",
-    "4": "LABEL_4"
+    "0": "O",
+    "1": "LOC",
+    "2": "PER",
+    "3": "MISC",
+    "4": "ORG"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1,
-    "LABEL_2": 2,
-    "LABEL_3": 3,
-    "LABEL_4": 4
+    "LOC": 1,
+    "MISC": 3,
+    "O": 0,
+    "ORG": 4,
+    "PER": 2
   },
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 514,

model.safetensors

@@ -1,3 +1,3 @@
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 size 440164740

training_args.bin

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