Upload TFDistilBertForSequenceClassification

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: decision-distilbert-uncased
+  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. -->
+
+# decision-distilbert-uncased
+
+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: 0.0194
+- Train Accuracy: 1.0
+- 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', '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': 2e-06, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train Accuracy | Epoch |
+|:----------:|:--------------:|:-----:|
+| 0.6630     | 0.6840         | 0     |
+| 0.5155     | 0.9530         | 1     |
+| 0.2621     | 0.9920         | 2     |
+| 0.1315     | 0.9940         | 3     |
+| 0.0817     | 0.9950         | 4     |
+| 0.0550     | 0.9960         | 5     |
+| 0.0394     | 0.9990         | 6     |
+| 0.0310     | 0.9980         | 7     |
+| 0.0248     | 0.9990         | 8     |
+| 0.0194     | 1.0            | 9     |
+
+
+### Framework versions
+
+- Transformers 4.27.2
+- TensorFlow 2.11.0
+- Datasets 2.10.1
+- 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,
+  "initializer_range": 0.02,
+  "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": "4.27.2",
+  "vocab_size": 30522
+}

tf_model.h5

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+oid sha256:0ec3c1df372012d1270d190325c3299fbd6142dc44b5b82358041996bee05849
+size 267955144