End of training

README.md

@@ -1,11 +1,8 @@
 ---
 license: mit
-base_model: pdelobelle/robbert-v2-dutch-base
+base_model: Tommert25/robbert_1210seed7
 tags:
 - generated_from_trainer
-metrics:
-- recall
-- accuracy
 model-index:
 - name: robbert_1210seed7
   results: []
@@ -16,13 +13,17 @@ should probably proofread and complete it, then remove this comment. -->
 
 # robbert_1210seed7
 
-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_1210seed7](https://huggingface.co/Tommert25/robbert_1210seed7) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5888
-- Precisions: 0.8240
-- Recall: 0.8093
-- F-measure: 0.8159
-- Accuracy: 0.9147
+- eval_loss: 0.3996
+- eval_precisions: 0.8402
+- eval_recall: 0.8190
+- eval_f-measure: 0.8285
+- eval_accuracy: 0.9429
+- eval_runtime: 9.7576
+- eval_samples_per_second: 82.705
+- eval_steps_per_second: 5.227
+- 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 |
-|:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
-| 0.6241        | 1.0   | 236  | 0.3820          | 0.8616     | 0.6996 | 0.7033    | 0.8820   |
-| 0.3306        | 2.0   | 472  | 0.3728          | 0.8541     | 0.7190 | 0.7159    | 0.8865   |
-| 0.1894        | 3.0   | 708  | 0.3517          | 0.7788     | 0.7975 | 0.7841    | 0.8994   |
-| 0.1342        | 4.0   | 944  | 0.4124          | 0.7784     | 0.7692 | 0.7679    | 0.9012   |
-| 0.091         | 5.0   | 1180 | 0.4652          | 0.8348     | 0.7900 | 0.8093    | 0.9086   |
-| 0.0658        | 6.0   | 1416 | 0.4564          | 0.8277     | 0.7856 | 0.8030    | 0.9097   |
-| 0.0407        | 7.0   | 1652 | 0.5378          | 0.7810     | 0.8045 | 0.7837    | 0.9024   |
-| 0.0272        | 8.0   | 1888 | 0.5348          | 0.8352     | 0.7823 | 0.8012    | 0.9092   |
-| 0.0231        | 9.0   | 2124 | 0.5453          | 0.8112     | 0.8053 | 0.8079    | 0.9140   |
-| 0.0157        | 10.0  | 2360 | 0.5525          | 0.7998     | 0.7815 | 0.7881    | 0.9106   |
-| 0.0092        | 11.0  | 2596 | 0.5990          | 0.7932     | 0.8036 | 0.7933    | 0.9072   |
-| 0.0096        | 12.0  | 2832 | 0.6031          | 0.8032     | 0.7922 | 0.7966    | 0.9111   |
-| 0.0051        | 13.0  | 3068 | 0.5888          | 0.8240     | 0.8093 | 0.8159    | 0.9147   |
-| 0.0036        | 14.0  | 3304 | 0.5888          | 0.8159     | 0.8079 | 0.8107    | 0.9127   |
-
-
 ### 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_1210seed7",
   "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 sha256:2cf229c583cefdc8f9554b6af6d7bb4176d5ca122caf48543273401dc8b2df9e
 size 4027