Upload TFDistilBertForSequenceClassification

README.md

@@ -6,11 +6,6 @@ tags:
 model-index:
 - name: news_sentiment_model
   results: []
-widget:
-- text: "Several thousand people demonstrate against antisemitism in Berlin as Germany grapples with a large increase in anti-Jewish incidents following Hamas’s assault on Israel two months ago."
-  example_title: "Pro-Israel"
-- text: "At least 10000 civilians were killed, mostly children this morning as Israeli warplanes bombed."
-  example_title: "Anti-Israel"
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
@@ -39,7 +34,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: None
+- 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 4615, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
@@ -49,6 +44,6 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - Transformers 4.35.2
-- TensorFlow 2.14.0
-- Datasets 2.15.0
+- TensorFlow 2.15.0
+- Datasets 2.16.0
 - Tokenizers 0.15.0

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 267955144