Upload TFT5ForConditionalGeneration

README.md

@@ -14,7 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-
+- Train Loss: 2.9241
+- Validation Loss: 2.5831
+- Train Rougel: tf.Tensor(0.19511123, shape=(), dtype=float32)
+- Epoch: 0
 
 ## Model description
 
@@ -33,16 +36,19 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, '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': 2e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
 
+| Train Loss | Validation Loss | Train Rougel                                   | Epoch |
+|:----------:|:---------------:|:----------------------------------------------:|:-----:|
+| 2.9241     | 2.5831          | tf.Tensor(0.19511123, shape=(), dtype=float32) | 0     |
 
 
 ### Framework versions
 
 - Transformers 4.25.1
-- TensorFlow 2.9.2
+- TensorFlow 2.11.0
 - Datasets 2.8.0
 - Tokenizers 0.13.2

tf_model.h5

@@ -1,3 +1,3 @@
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