Update README.md

README.md

@@ -3,20 +3,21 @@ license: apache-2.0
 tags:
 - generated_from_keras_callback
 model-index:
-- name: t5-v1_1-base-finetuned3
+- name: t5-v1_1-base-finetuned2
   results: []
+pipeline_tag: summarization
 ---
 
 <!-- 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. -->
 
-# t5-v1_1-base-finetuned3
+# t5-v1_1-base-finetuned-sci_summ
 
-This model is a fine-tuned version of [MahmoudH/t5-v1_1-base-finetuned2](https://huggingface.co/MahmoudH/t5-v1_1-base-finetuned2) on an unknown dataset.
+This model is a fine-tuned version of [google/t5-v1_1-base](https://huggingface.co/google/t5-v1_1-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.6841
-- Validation Loss: 1.4443
-- Epoch: 1
+- Train Loss: 2.6709
+- Validation Loss: 2.4722
+- Epoch: 4
 
 ## Model description
 
@@ -35,20 +36,23 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 22098, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 85205, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
 - training_precision: mixed_float16
 
 ### Training results
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 2.0059     | 1.4861          | 0     |
-| 1.6841     | 1.4443          | 1     |
+| 3.2489     | 2.6484          | 0     |
+| 2.9313     | 2.5538          | 1     |
+| 2.7882     | 2.5010          | 2     |
+| 2.7125     | 2.4760          | 3     |
+| 2.6709     | 2.4722          | 4     |
 
 
 ### Framework versions
 
 - Transformers 4.26.1
 - TensorFlow 2.11.0
-- Datasets 2.10.1
-- Tokenizers 0.13.2
+- Datasets 2.9.0
+- Tokenizers 0.13.2