update model card README.md

README.md

@@ -1,22 +1,22 @@
 ---
 license: cc-by-4.0
 tags:
-- generated_from_keras_callback
+- generated_from_trainer
+datasets:
+- custom_squad
 model-index:
-- name: msms/roberta-base-squad2-finetuned-squad
+- name: roberta-base-squad2-finetuned-squad
   results: []
 ---
 
-<!-- This model card has been generated automatically according to the information Keras had access to. You should
-probably proofread and complete it, then remove this comment. -->
+<!-- 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. -->
 
-# msms/roberta-base-squad2-finetuned-squad
+# roberta-base-squad2-finetuned-squad
 
-This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on an unknown dataset.
+This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the custom_squad dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.6885
-- Validation Loss: 0.3314
-- Epoch: 1
+- Loss: 0.8459
 
 ## Model description
 
@@ -35,20 +35,24 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 804, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
-- training_precision: float32
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
 
 ### Training results
 
-| Train Loss | Validation Loss | Epoch |
-|:----------:|:---------------:|:-----:|
-| 1.1861     | 0.4804          | 0     |
-| 0.6885     | 0.3314          | 1     |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.6852        | 1.0   | 5536 | 0.8459          |
 
 
 ### Framework versions
 
 - Transformers 4.20.1
-- TensorFlow 2.6.4
+- Pytorch 1.11.0
 - Datasets 2.1.0
 - Tokenizers 0.12.1