update model card README.md

README.md

@@ -17,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # xlm-roberta-base-finetuned-pos
 
-This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the Sajjad's dataset.
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5350
-- Precision: 0.8992
-- Recall: 0.9129
-- F1: 0.9060
-- Accuracy: 0.8979
+- Loss: 0.0221
+- Precision: 0.9948
+- Recall: 0.9953
+- F1: 0.9951
+- Accuracy: 0.9957
 
 ## Model description
 
@@ -48,27 +48,20 @@ 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: 10
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 457  | 0.3629          | 0.8779    | 0.8952 | 0.8865 | 0.8904   |
-| 0.5823        | 2.0   | 914  | 0.3986          | 0.8870    | 0.9036 | 0.8952 | 0.8879   |
-| 0.2312        | 3.0   | 1371 | 0.4127          | 0.8891    | 0.9044 | 0.8967 | 0.8887   |
-| 0.1651        | 4.0   | 1828 | 0.4374          | 0.8885    | 0.9030 | 0.8957 | 0.8870   |
-| 0.1265        | 5.0   | 2285 | 0.4622          | 0.8923    | 0.9068 | 0.8995 | 0.8912   |
-| 0.1036        | 6.0   | 2742 | 0.4752          | 0.8962    | 0.9088 | 0.9025 | 0.8946   |
-| 0.0806        | 7.0   | 3199 | 0.5058          | 0.8950    | 0.9093 | 0.9020 | 0.8933   |
-| 0.0727        | 8.0   | 3656 | 0.5232          | 0.8996    | 0.9123 | 0.9059 | 0.8976   |
-| 0.0603        | 9.0   | 4113 | 0.5360          | 0.8970    | 0.9106 | 0.9037 | 0.8952   |
-| 0.0548        | 10.0  | 4570 | 0.5350          | 0.8992    | 0.9129 | 0.9060 | 0.8979   |
+| 0.0343        | 1.0   | 2111 | 0.0226          | 0.9941    | 0.9941 | 0.9941 | 0.9949   |
+| 0.0205        | 2.0   | 4222 | 0.0230          | 0.9951    | 0.9950 | 0.9951 | 0.9955   |
+| 0.0137        | 3.0   | 6333 | 0.0221          | 0.9948    | 0.9953 | 0.9951 | 0.9957   |
 
 
 ### Framework versions
 
 - Transformers 4.27.1
-- Pytorch 2.0.0+cu117
+- Pytorch 1.13.1+cu116
 - Datasets 2.10.1
 - Tokenizers 0.13.2