Upload TFDistilBertForSequenceClassification

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: bert-20news-classification
+  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-20news-classification
+
+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: 0.5063
+- Train Accuracy: 0.8805
+- Validation Loss: 0.5579
+- Validation Accuracy: 0.8622
+- Epoch: 0
+
+## 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': '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': 2e-05, 'decay_steps': 636, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
+|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
+| 0.5063     | 0.8805         | 0.5579          | 0.8622              | 0     |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- TensorFlow 2.12.0
+- Datasets 2.12.0
+- 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": "alt.atheism",
+    "1": "comp.graphics",
+    "2": "comp.os.ms-windows.misc",
+    "3": "comp.sys.ibm.pc.hardware",
+    "4": "comp.sys.mac.hardware",
+    "5": "comp.windows.x",
+    "6": "misc.forsale",
+    "7": "rec.autos",
+    "8": "rec.motorcycles",
+    "9": "rec.sport.baseball",
+    "10": "rec.sport.hockey",
+    "11": "sci.crypt",
+    "12": "sci.electronics",
+    "13": "sci.med",
+    "14": "sci.space",
+    "15": "soc.religion.christian",
+    "16": "talk.politics.guns",
+    "17": "talk.politics.mideast",
+    "18": "talk.politics.misc",
+    "19": "talk.religion.misc"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "alt.atheism": 0,
+    "comp.graphics": 1,
+    "comp.os.ms-windows.misc": 2,
+    "comp.sys.ibm.pc.hardware": 3,
+    "comp.sys.mac.hardware": 4,
+    "comp.windows.x": 5,
+    "misc.forsale": 6,
+    "rec.autos": 7,
+    "rec.motorcycles": 8,
+    "rec.sport.baseball": 9,
+    "rec.sport.hockey": 10,
+    "sci.crypt": 11,
+    "sci.electronics": 12,
+    "sci.med": 13,
+    "sci.space": 14,
+    "soc.religion.christian": 15,
+    "talk.politics.guns": 16,
+    "talk.politics.mideast": 17,
+    "talk.politics.misc": 18,
+    "talk.religion.misc": 19
+  },
+  "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": "4.28.0",
+  "vocab_size": 30522
+}

tf_model.h5

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+oid sha256:8048fcc98121be82c51d648df51c6a92b08694d92cde78dae6ae84bf87c77c6c
+size 268007104