Upload TFDistilBertForSequenceClassification

README.md

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+---
+base_model: raygx/distilBERT-Nepali
+tags:
+- generated_from_keras_callback
+model-index:
+- name: distilBERT-NepSA
+  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. -->
+
+# distilBERT-NepSA
+
+This model is a fine-tuned version of [raygx/distilBERT-Nepali](https://huggingface.co/raygx/distilBERT-Nepali) 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: {'name': 'AdamWeightDecay', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- training_precision: float32
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- TensorFlow 2.12.0
+- Datasets 2.14.0
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "raygx/distilBERT-Nepali",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 1,
+  "dim": 768,
+  "dropout": 0.1,
+  "eos_token_id": 2,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "NEUTRAL",
+    "1": "POSITIVE",
+    "2": "NEGATIVE"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "NEGATIVE": 2,
+    "NEUTRAL": 0,
+    "POSITIVE": 1
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 2,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "transformers_version": "4.31.0",
+  "vocab_size": 50000
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:89e50e03897c1b2720a309ff9e05b1928929ce8c961187ee8bdc328a0c4c0ace
+size 327794632