End of training

README.md

@@ -1,11 +1,8 @@
 ---
 license: mit
-base_model: pdelobelle/robbert-v2-dutch-base
+base_model: Tommert25/robbert_1210seed25
 tags:
 - generated_from_trainer
-metrics:
-- recall
-- accuracy
 model-index:
 - name: robbert_1210seed25
   results: []
@@ -16,13 +13,17 @@ should probably proofread and complete it, then remove this comment. -->
 
 # robbert_1210seed25
 
-This model is a fine-tuned version of [pdelobelle/robbert-v2-dutch-base](https://huggingface.co/pdelobelle/robbert-v2-dutch-base) on an unknown dataset.
+This model is a fine-tuned version of [Tommert25/robbert_1210seed25](https://huggingface.co/Tommert25/robbert_1210seed25) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5154
-- Precisions: 0.8282
-- Recall: 0.8023
-- F-measure: 0.8137
-- Accuracy: 0.9157
+- eval_loss: 0.3499
+- eval_precisions: 0.8378
+- eval_recall: 0.8190
+- eval_f-measure: 0.8274
+- eval_accuracy: 0.9431
+- eval_runtime: 9.6837
+- eval_samples_per_second: 83.336
+- eval_steps_per_second: 5.267
+- step: 0
 
 ## Model description
 
@@ -49,26 +50,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 14
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Precisions | Recall | F-measure | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
-| 0.6436        | 1.0   | 236  | 0.4323          | 0.8609     | 0.6660 | 0.6824    | 0.8683   |
-| 0.3251        | 2.0   | 472  | 0.3626          | 0.8293     | 0.7298 | 0.7496    | 0.8888   |
-| 0.204         | 3.0   | 708  | 0.3922          | 0.7666     | 0.7567 | 0.7456    | 0.8987   |
-| 0.1274        | 4.0   | 944  | 0.4473          | 0.7811     | 0.7408 | 0.7446    | 0.9018   |
-| 0.0876        | 5.0   | 1180 | 0.4216          | 0.7983     | 0.7892 | 0.7924    | 0.9058   |
-| 0.0576        | 6.0   | 1416 | 0.5128          | 0.7782     | 0.7547 | 0.7620    | 0.9019   |
-| 0.0406        | 7.0   | 1652 | 0.5051          | 0.8195     | 0.7678 | 0.7855    | 0.9123   |
-| 0.026         | 8.0   | 1888 | 0.5467          | 0.8202     | 0.7939 | 0.8056    | 0.9106   |
-| 0.0206        | 9.0   | 2124 | 0.5154          | 0.8282     | 0.8023 | 0.8137    | 0.9157   |
-| 0.0127        | 10.0  | 2360 | 0.5393          | 0.8190     | 0.7845 | 0.7988    | 0.9155   |
-| 0.0082        | 11.0  | 2596 | 0.5627          | 0.8145     | 0.7770 | 0.7886    | 0.9155   |
-| 0.0062        | 12.0  | 2832 | 0.5912          | 0.8166     | 0.7936 | 0.8036    | 0.9169   |
-| 0.0046        | 13.0  | 3068 | 0.5971          | 0.8090     | 0.7926 | 0.7984    | 0.9154   |
-| 0.0035        | 14.0  | 3304 | 0.5914          | 0.8135     | 0.7899 | 0.7995    | 0.9166   |
-
-
 ### Framework versions
 
 - Transformers 4.34.0

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "pdelobelle/robbert-v2-dutch-base",
+  "_name_or_path": "Tommert25/robbert_1210seed25",
   "architectures": [
     "RobertaForTokenClassification"
   ],

special_tokens_map.json

@@ -1,4 +1,11 @@
 {
+  "additional_special_tokens": [
+    "<s>",
+    "<pad>",
+    "</s>",
+    "<unk>",
+    "<mask>"
+  ],
   "bos_token": "<s>",
   "cls_token": "<s>",
   "eos_token": "</s>",

tokenizer_config.json

@@ -42,17 +42,30 @@
       "special": true
     }
   },
-  "additional_special_tokens": [],
+  "additional_special_tokens": [
+    "<s>",
+    "<pad>",
+    "</s>",
+    "<unk>",
+    "<mask>"
+  ],
   "bos_token": "<s>",
   "clean_up_tokenization_spaces": true,
   "cls_token": "<s>",
   "eos_token": "</s>",
   "errors": "replace",
   "mask_token": "<mask>",
+  "max_length": 512,
   "model_max_length": 512,
+  "pad_to_multiple_of": null,
   "pad_token": "<pad>",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
   "sep_token": "</s>",
+  "stride": 0,
   "tokenizer_class": "RobertaTokenizer",
   "trim_offsets": true,
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
   "unk_token": "<unk>"
 }

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:363c6df123cf97ec8546459e9a7e336777c768ef483ab5397906fbef4741f3f5
 size 4091