Training complete

README.md

@@ -1,6 +1,4 @@
 ---
-license: mit
-base_model: vonewman/xlm-roberta-base-finetuned-wolof
 tags:
 - generated_from_trainer
 metrics:
@@ -18,13 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wolof-finetuned-ner
 
-This model is a fine-tuned version of [vonewman/xlm-roberta-base-finetuned-wolof](https://huggingface.co/vonewman/xlm-roberta-base-finetuned-wolof) on the None dataset.
+This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3539
-- Precision: 0.7798
+- Loss: 0.3950
+- Precision: 0.7821
 - Recall: 0.8912
-- F1: 0.8317
-- Accuracy: 0.9850
+- F1: 0.8331
+- Accuracy: 0.9849
 
 ## Model description
 
@@ -49,15 +47,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 226  | 0.3879          | 0.7412    | 0.8571 | 0.7950 | 0.9834   |
-| No log        | 2.0   | 452  | 0.3595          | 0.7378    | 0.8707 | 0.7988 | 0.9833   |
-| 0.5119        | 3.0   | 678  | 0.3539          | 0.7798    | 0.8912 | 0.8317 | 0.9850   |
+| No log        | 1.0   | 226  | 0.4169          | 0.7590    | 0.8571 | 0.8051 | 0.9842   |
+| No log        | 2.0   | 452  | 0.3715          | 0.7738    | 0.8844 | 0.8254 | 0.9856   |
+| 0.5031        | 3.0   | 678  | 0.3746          | 0.7550    | 0.9014 | 0.8217 | 0.9840   |
+| 0.5031        | 4.0   | 904  | 0.3983          | 0.7651    | 0.8639 | 0.8115 | 0.9840   |
+| 0.0962        | 5.0   | 1130 | 0.3950          | 0.7821    | 0.8912 | 0.8331 | 0.9849   |
 
 
 ### Framework versions