Upload TFDistilBertForSequenceClassification

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: resume_sorter
+  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. -->
+
+# resume_sorter
+
+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: 1.6000
+- Train Accuracy: 0.9309
+- Epoch: 6
+
+## 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', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 225, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train Accuracy | Epoch |
+|:----------:|:--------------:|:-----:|
+| 3.0338     | 0.3025         | 0     |
+| 2.5856     | 0.6257         | 1     |
+| 2.1253     | 0.8646         | 2     |
+| 1.7760     | 0.9144         | 3     |
+| 1.6245     | 0.9309         | 4     |
+| 1.5916     | 0.9309         | 5     |
+| 1.6000     | 0.9309         | 6     |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- TensorFlow 2.9.2
+- Datasets 2.7.1
+- Tokenizers 0.13.2

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": "Data Science",
+    "1": "HR",
+    "2": "Advocate",
+    "3": "Arts",
+    "4": "Web Designing",
+    "5": "Mechanical Engineer",
+    "6": "Sales",
+    "7": "Health and fitness",
+    "8": "Civil Engineer",
+    "9": "Java Developer",
+    "10": "Business Analyst",
+    "11": "SAP Developer",
+    "12": "Automation Testing",
+    "13": "Electrical Engineering",
+    "14": "Operations Manager",
+    "15": "Python Developer",
+    "16": "DevOps Engineer",
+    "17": "Network Security Engineer",
+    "18": "PMO",
+    "19": "Database",
+    "20": "Hadoop",
+    "21": "ETL Developer",
+    "22": "DotNet Developer",
+    "23": "Blockchain",
+    "24": "Testing"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "Advocate": 2,
+    "Arts": 3,
+    "Automation Testing": 12,
+    "Blockchain": 23,
+    "Business Analyst": 10,
+    "Civil Engineer": 8,
+    "Data Science": 0,
+    "Database": 19,
+    "DevOps Engineer": 16,
+    "DotNet Developer": 22,
+    "ETL Developer": 21,
+    "Electrical Engineering": 13,
+    "HR": 1,
+    "Hadoop": 20,
+    "Health and fitness": 7,
+    "Java Developer": 9,
+    "Mechanical Engineer": 5,
+    "Network Security Engineer": 17,
+    "Operations Manager": 14,
+    "PMO": 18,
+    "Python Developer": 15,
+    "SAP Developer": 11,
+    "Sales": 6,
+    "Testing": 24,
+    "Web Designing": 4
+  },
+  "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": "4.25.1",
+  "vocab_size": 30522
+}

tf_model.h5

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+size 268022552