Upload TFDistilBertForSequenceClassification

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: distilbert_ORO_Branch
+  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. -->
+
+# distilbert_ORO_Branch
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.1604
+- Train Binary Accuracy: 0.9509
+- Validation Loss: 0.2817
+- Validation Binary Accuracy: 0.8946
+- Epoch: 2
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- optimizer: {'name': 'AdamW', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay': 0.0, 'exclude_from_weight_decay': None}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train Binary Accuracy | Validation Loss | Validation Binary Accuracy | Epoch |
+|:----------:|:---------------------:|:---------------:|:--------------------------:|:-----:|
+| 0.4863     | 0.7650                | 0.4002          | 0.8368                     | 0     |
+| 0.2445     | 0.9238                | 0.2649          | 0.8993                     | 1     |
+| 0.1604     | 0.9509                | 0.2817          | 0.8946                     | 2     |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- TensorFlow 2.12.0
+- Datasets 2.18.0
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "Mitigation",
+    "1": "Natural",
+    "2": "Societal"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "transformers_version": "4.30.2",
+  "vocab_size": 30522
+}

tf_model.h5

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+oid sha256:d57de56e50aded1e67a6e86ca31112790252e62e696cf37c0d4e400a878f25d6
+size 267954880