Upload README.md

README.md

@@ -3,19 +3,19 @@ license: mit
 tags:
 - generated_from_keras_callback
 model-index:
-- name: vanichandna/xlm-roberta-finetuned-squad
+- name: vanichandna/xlmroberta-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. -->
 
-# vanichandna/xlm-roberta-finetuned-squad
+# vanichandna/xlmroberta-squad
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.8142
-- Epoch: 1
+- Train Loss: 1.2842
+- Epoch: 0
 
 ## Model description
 
@@ -34,20 +34,19 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 26361, '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, 'weight_decay_rate': 0.01}
+- optimizer: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 16476, '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, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
 - training_precision: mixed_float16
 
 ### Training results
 
 | Train Loss | Epoch |
 |:----------:|:-----:|
-| 1.2211     | 0     |
-| 0.8142     | 1     |
+| 1.2842     | 0     |
 
 
 ### Framework versions
 
 - Transformers 4.18.0
 - TensorFlow 2.8.0
-- Datasets 2.1.0
+- Datasets 2.2.1
 - Tokenizers 0.12.1