Training complete

README.md

@@ -0,0 +1,66 @@
+---
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: xlm-roberta-base-wolof
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# xlm-roberta-base-wolof
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2733
+- Precision: 0.7251
+- Recall: 0.7220
+- F1: 0.7236
+- Accuracy: 0.9586
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 4.899923663123727e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 226  | 0.2416          | 0.7653    | 0.6519 | 0.7041 | 0.9587   |
+| No log        | 2.0   | 452  | 0.2573          | 0.6917    | 0.7300 | 0.7104 | 0.9568   |
+| 0.0212        | 3.0   | 678  | 0.2733          | 0.7251    | 0.7220 | 0.7236 | 0.9586   |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "vonewman/xlm-roberta-base-finetuned-wolof",
+  "_name_or_path": "/kaggle/input/xlm-roberta-model/xlm_roberta_base_pretrained_wolof_pytorch",
   "architectures": [
     "XLMRobertaForTokenClassification"
   ],
@@ -43,7 +43,7 @@
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
-  "transformers_version": "4.34.1",
+  "transformers_version": "4.33.0",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 250002

pytorch_model.bin

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tokenizer_config.json

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   "bos_token": "<s>",
   "clean_up_tokenization_spaces": true,
   "cls_token": "<s>",
   "eos_token": "</s>",
-  "mask_token": "<mask>",
+  "mask_token": {
+    "__type": "AddedToken",
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training_args.bin

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