fine_tuned_robbert_yes

README.md

@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [pdelobelle/robbert-v2-dutch-base](https://huggingface.co/pdelobelle/robbert-v2-dutch-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4953
-- F1: 0.9095
-- Accuracy: 0.9101
+- Loss: 0.0401
+- F1: 0.9660
+- Accuracy: 0.9677
 
 ## Model description
 
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
-| 0.2837        | 1.0   | 178  | 0.3362          | 0.8968 | 0.8989   |
-| 0.4563        | 2.0   | 356  | 0.2734          | 0.9317 | 0.9326   |
-| 0.1892        | 3.0   | 534  | 0.3383          | 0.9321 | 0.9326   |
+| 0.1774        | 1.0   | 62   | 0.3539          | 0.9183 | 0.9194   |
+| 0.0022        | 2.0   | 124  | 0.0010          | 1.0    | 1.0      |
+| 0.0021        | 3.0   | 186  | 0.0007          | 1.0    | 1.0      |
 
 
 ### Framework versions

config.json

@@ -12,19 +12,9 @@
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
-  "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
-    "2": "LABEL_2"
-  },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "is_decoder": false,
-  "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1,
-    "LABEL_2": 2
-  },
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 514,
   "model_type": "roberta",

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 467081796
+oid sha256:b7e8b3dc9adf543f7ac86800f44ce6f0a6df2f506bba7d3fe1587c84cb8829af
+size 467078720