Upload TFBertForSequenceClassification

README.md

@@ -1,7 +1,22 @@
 ---
-library_name: keras
+license: mit
+base_model: bert-base-german-cased
+tags:
+- generated_from_keras_callback
+model-index:
+- name: mindmate-f3-spatialdiaries-cascade-cont-1-64
+  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. -->
+
+# mindmate-f3-spatialdiaries-cascade-cont-1-64
+
+This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+
+
 ## Model description
 
 More information needed
@@ -19,32 +34,15 @@ 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': 3e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+
+
+### Framework versions
 
-| Hyperparameters | Value |
-| :-- | :-- |
-| 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 | 2.9999999242136255e-05 |
-| beta_1 | 0.9 |
-| beta_2 | 0.999 |
-| epsilon | 1e-07 |
-| amsgrad | False |
-| training_precision | float32 |
-
-
- ## Model Plot
-
-<details>
-<summary>View Model Plot</summary>
-
-![Model Image](./model.png)
-
-</details>
+- Transformers 4.40.0
+- TensorFlow 2.15.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,40 @@
+{
+  "_name_or_path": "bert-base-german-cased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "classifier_dropout": 0.0,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.40.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30002
+}

tf_model.h5

@@ -0,0 +1,3 @@
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+oid sha256:452e2e9b2f7d69e1b0bd01506dd33c8e3974d1f0c2563bdc4bed4342638a5cc6
+size 528810608