Upload TFBertForSequenceClassification (#7)

- Upload TFBertForSequenceClassification (0045d304e673b113705e24acadb09257c530d597)

README.md

@@ -1,24 +1,19 @@
 ---
-license: mit
-base_model: neuralmind/bert-base-portuguese-cased
 tags:
-- generated_from_trainer
-metrics:
-- accuracy
+- generated_from_keras_callback
 model-index:
 - name: google-play-sentiment-analysis
   results: []
 ---
 
-<!-- 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. -->
+<!-- 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. -->
 
 # google-play-sentiment-analysis
 
-This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on an unknown dataset.
+This model was trained from scratch on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4174
-- Accuracy: 0.5309
+
 
 ## Model description
 
@@ -37,28 +32,16 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2.5e-05
-- train_batch_size: 16
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 5
+- optimizer: None
+- training_precision: float32
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 1.1052        | 1.0   | 5313  | 1.0804          | 0.5383   |
-| 1.0051        | 2.0   | 10626 | 1.0840          | 0.5425   |
-| 0.8599        | 3.0   | 15939 | 1.1426          | 0.5398   |
-| 0.7222        | 4.0   | 21252 | 1.2653          | 0.5331   |
-| 0.615         | 5.0   | 26565 | 1.4174          | 0.5309   |
 
 
 ### Framework versions
 
 - Transformers 4.36.1
-- Pytorch 2.0.1+cu118
+- TensorFlow 2.13.0
 - Datasets 2.15.0
 - Tokenizers 0.15.0

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "neuralmind/bert-base-portuguese-cased",
+  "_name_or_path": "google-play-sentiment-analysis",
   "architectures": [
     "BertForSequenceClassification"
   ],

tf_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1bd14b39d9021547921fa231a20e30fb8b5e60628806614f1ca0dab2f5c4f8a0
+size 435995940