fine_tuned_robbert2

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: 0.1846
-- F1: 0.9543
-- Accuracy: 0.9542
+- Loss: 0.2274
+- F1: 0.9553
+- Accuracy: 0.9571
 
 ## Model description
 
@@ -53,14 +53,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
-| 0.1714        | 1.0   | 153  | 0.2318          | 0.9197 | 0.9211   |
-| 0.2492        | 2.0   | 306  | 0.2178          | 0.9468 | 0.9474   |
-| 0.0469        | 3.0   | 459  | 0.2212          | 0.9536 | 0.9539   |
+| 0.2448        | 1.0   | 163  | 0.3093          | 0.8988 | 0.9012   |
+| 0.2404        | 2.0   | 326  | 0.2209          | 0.9294 | 0.9321   |
+| 0.0954        | 3.0   | 489  | 0.2455          | 0.9372 | 0.9383   |
 
 
 ### Framework versions
 
-- Transformers 5.1.0
+- Transformers 5.0.0
 - Pytorch 2.9.0+cu128
 - Datasets 4.0.0
 - Tokenizers 0.22.2

config.json

@@ -35,7 +35,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "tie_word_embeddings": true,
-  "transformers_version": "5.1.0",
+  "transformers_version": "5.0.0",
   "type_vocab_size": 1,
   "use_cache": false,
   "vocab_size": 40000

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9e52e4faedd0b200292ed384e08b37742f8776291ebae1ebb84ebb9c8c48f0f5
+oid sha256:f07c2fba2f41fc5afb84b84c0a644c6bc89110abddb2697741f1a18a3199041e
 size 467081796