update model card README.md

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the conll2003 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0641
-- Precision: 0.9201
-- Recall: 0.9335
-- F1: 0.9268
-- Accuracy: 0.9833
+- Loss: 0.0725
+- Precision: 0.8927
+- Recall: 0.9126
+- F1: 0.9025
+- Accuracy: 0.9787
 
 ## Model description
 
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 - seed: 42
 - distributed_type: IPU
 - gradient_accumulation_steps: 16
-- total_train_batch_size: 16
-- total_eval_batch_size: 5
+- total_train_batch_size: 64
+- total_eval_batch_size: 20
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 3
@@ -61,9 +61,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.0875        | 1.0   | 877  | 0.0696          | 0.9033    | 0.9195 | 0.9114 | 0.9801   |
-| 0.3183        | 2.0   | 1754 | 0.0638          | 0.9212    | 0.9279 | 0.9246 | 0.9827   |
-| 0.0188        | 3.0   | 2631 | 0.0641          | 0.9201    | 0.9335 | 0.9268 | 0.9833   |
+| 0.1168        | 1.0   | 219  | 0.0970          | 0.8545    | 0.8749 | 0.8646 | 0.9720   |
+| 0.0983        | 2.0   | 438  | 0.0739          | 0.8935    | 0.9070 | 0.9002 | 0.9781   |
+| 0.0481        | 3.0   | 657  | 0.0725          | 0.8927    | 0.9126 | 0.9025 | 0.9787   |
 
 
 ### Framework versions