Training in progress epoch 0

README.md

@@ -3,18 +3,22 @@ license: apache-2.0
 tags:
 - generated_from_keras_callback
 model-index:
-- name: bert-finetuned-sst2
+- name: dreemer6/bert-finetuned-sst2
   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. -->
 
-# bert-finetuned-sst2
+# dreemer6/bert-finetuned-sst2
 
-This model is a fine-tuned version of [dreemer6/bert-finetuned-sst2](https://huggingface.co/dreemer6/bert-finetuned-sst2) on an unknown dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-
+- Train Loss: 0.2323
+- Train Accuracy: 0.9097
+- Validation Loss: 0.3061
+- Validation Accuracy: 0.9048
+- Epoch: 0
 
 ## Model description
 
@@ -33,11 +37,14 @@ 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 126285, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
 
+| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
+|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
+| 0.2323     | 0.9097         | 0.3061          | 0.9048              | 0     |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "dreemer6/bert-finetuned-sst2",
+  "_name_or_path": "bert-base-uncased",
   "architectures": [
     "BertForSequenceClassification"
   ],
@@ -9,16 +9,8 @@
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
-  "id2label": {
-    "0": "negative",
-    "1": "positive"
-  },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
-  "label2id": {
-    "negative": "0",
-    "positive": "1"
-  },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
   "model_type": "bert",

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:38a28f8d261702bc5209c8d72ccc457da257ced46fa3dc3d265b861ee4529c7c
+oid sha256:6ea3d19c35228840ca235f05cffc51341a4632a36fda3559aabdd9c8dd85843b
 size 438223192