update model card README.md

README.md

@@ -1,22 +1,22 @@
 ---
 license: apache-2.0
 tags:
-- generated_from_keras_callback
+- generated_from_trainer
+datasets:
+- squad
 model-index:
-- name: thamaine/distilbert-base-uncased-finetuned-squad
+- name: distilbert-base-uncased-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. -->
 
-# thamaine/distilbert-base-uncased-finetuned-squad
+# distilbert-base-uncased-finetuned-squad
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squad dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.5438
-- Validation Loss: 1.2152
-- Epoch: 0
+- Loss: 1.1580
 
 ## Model description
 
@@ -35,19 +35,26 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 5532, '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: 3
 
 ### Training results
 
-| Train Loss | Validation Loss | Epoch |
-|:----------:|:---------------:|:-----:|
-| 1.5438     | 1.2152          | 0     |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.2102        | 1.0   | 5533  | 1.1573          |
+| 0.9535        | 2.0   | 11066 | 1.1236          |
+| 0.7513        | 3.0   | 16599 | 1.1580          |
 
 
 ### Framework versions
 
 - Transformers 4.19.2
-- TensorFlow 2.8.0
-- Datasets 2.2.1
+- Pytorch 1.11.0+cu113
+- Datasets 2.2.2
 - Tokenizers 0.12.1