update model card README.md

README.md

@@ -1,22 +1,20 @@
 ---
-license: apache-2.0
+license: mit
 tags:
-- generated_from_keras_callback
+- generated_from_trainer
 model-index:
-- name: Oleksandr2003/QA_model
+- name: QA_model
   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. -->
 
-# Oleksandr2003/QA_model
+# QA_model
 
-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 [ukr-models/xlm-roberta-base-uk](https://huggingface.co/ukr-models/xlm-roberta-base-uk) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 2.8572
-- Validation Loss: 2.9472
-- Epoch: 2
+- Loss: 1.5648
 
 ## Model description
 
@@ -35,21 +33,26 @@ 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': 969, '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 |
-|:----------:|:---------------:|:-----:|
-| 3.3672     | 3.0732          | 0     |
-| 2.9966     | 2.9752          | 1     |
-| 2.8572     | 2.9472          | 2     |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 220  | 1.9953          |
+| No log        | 2.0   | 440  | 1.6170          |
+| 2.3827        | 3.0   | 660  | 1.5648          |
 
 
 ### Framework versions
 
 - Transformers 4.26.0
-- TensorFlow 2.9.2
+- Pytorch 1.13.1+cu116
 - Datasets 2.9.0
 - Tokenizers 0.13.2