Upload TFDistilBertForSequenceClassification

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: gualti/imdb_model
+tags:
+- generated_from_keras_callback
+model-index:
+- name: imdb_model3
+  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. -->
+
+# imdb_model3
+
+This model is a fine-tuned version of [gualti/imdb_model](https://huggingface.co/gualti/imdb_model) on an unknown dataset.
+It achieves the following results on the evaluation set:
+
+
+## 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: None
+- training_precision: float32
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.53.3
+- TensorFlow 2.18.0
+- Datasets 4.0.0
+- Tokenizers 0.21.2

config.json

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+{
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "NEGATIVE",
+    "1": "POSITIVE"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "NEGATIVE": 0,
+    "POSITIVE": 1
+  },
+  "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": "4.53.3",
+  "vocab_size": 30522
+}

tf_model.h5

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+oid sha256:e2ce3099a08027169fcbe3d1a188b4274c7ee4c293a1b8b606d2fb96a66f6ddc
+size 267955144