Upload TFDistilBertForSequenceClassification

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: disilbert-blm-tweets
+  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. -->
+
+# disilbert-blm-tweets
+
+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: 0.0727
+- Train Accuracy: 0.9926
+- Validation Loss: 1.8131
+- Validation Accuracy: 0.5631
+- Epoch: 9
+
+## 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': 5e-05, 'decay': 0.0, '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 |
+|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
+| 2.0599     | 0.1921         | 1.9355          | 0.2621              | 0     |
+| 1.8101     | 0.3596         | 1.6701          | 0.3981              | 1     |
+| 1.4513     | 0.5493         | 1.4079          | 0.5243              | 2     |
+| 1.0462     | 0.6995         | 1.4498          | 0.5340              | 3     |
+| 0.7448     | 0.8030         | 1.3420          | 0.5825              | 4     |
+| 0.4818     | 0.8867         | 1.4666          | 0.5728              | 5     |
+| 0.3204     | 0.9163         | 1.7067          | 0.5534              | 6     |
+| 0.1792     | 0.9655         | 1.6278          | 0.5728              | 7     |
+| 0.1129     | 0.9852         | 1.7240          | 0.5728              | 8     |
+| 0.0727     | 0.9926         | 1.8131          | 0.5631              | 9     |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- TensorFlow 2.9.2
+- 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": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6",
+    "7": "LABEL_7",
+    "8": "LABEL_8"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5,
+    "LABEL_6": 6,
+    "LABEL_7": 7,
+    "LABEL_8": 8
+  },
+  "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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