Training complete

README.md

@@ -1,22 +1,20 @@
 ---
+library_name: transformers
 license: apache-2.0
-base_model: bert-base-cased
+base_model: google-bert/bert-base-cased
 tags:
-- generated_from_keras_callback
+- generated_from_trainer
 model-index:
-- name: alynakbaba/bert-finetuned-squad
+- name: bert-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. -->
 
-# alynakbaba/bert-finetuned-squad
+# bert-finetuned-squad
 
-This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Train Loss: 1.2754
-- Epoch: 0
+This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on an unknown dataset.
 
 ## Model description
 
@@ -35,19 +33,22 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 16635, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
-- training_precision: float32
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
 
 ### Training results
 
-| Train Loss | Epoch |
-|:----------:|:-----:|
-| 1.2754     | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
-- TensorFlow 2.15.0
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

runs/Dec20_13-10-57_ed793cd4fcbd/events.out.tfevents.1734700265.ed793cd4fcbd.1146.0

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