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README.md

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+---
+license: apache-2.0
+base_model: sentence-transformers/all-MiniLM-L6-v2
+tags:
+- generated_from_keras_callback
+model-index:
+- name: kasrahabib/all-MiniLM-L6-v2-finetuned-on-promise-nf-sub-classes-classifier
+  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. -->
+
+# kasrahabib/all-MiniLM-L6-v2-finetuned-on-promise-nf-sub-classes-classifier
+
+This model is a fine-tuned version of [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.2538
+- Epoch: 19
+
+## 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1840, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Epoch |
+|:----------:|:-----:|
+| 2.2379     | 0     |
+| 2.0374     | 1     |
+| 1.7129     | 2     |
+| 1.3440     | 3     |
+| 1.0497     | 4     |
+| 0.8493     | 5     |
+| 0.7201     | 6     |
+| 0.6124     | 7     |
+| 0.5268     | 8     |
+| 0.4709     | 9     |
+| 0.4191     | 10    |
+| 0.3842     | 11    |
+| 0.3505     | 12    |
+| 0.3214     | 13    |
+| 0.3017     | 14    |
+| 0.2863     | 15    |
+| 0.2711     | 16    |
+| 0.2612     | 17    |
+| 0.2564     | 18    |
+| 0.2538     | 19    |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- TensorFlow 2.15.0
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "sentence-transformers/all-MiniLM-L6-v2",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 384,
+  "id2label": {
+    "0": "A",
+    "1": "FT",
+    "2": "L",
+    "3": "LF",
+    "4": "MN",
+    "5": "O",
+    "6": "PE",
+    "7": "SC",
+    "8": "SE",
+    "9": "US"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "label2id": {
+    "A": 0,
+    "FT": 1,
+    "L": 2,
+    "LF": 3,
+    "MN": 4,
+    "O": 5,
+    "PE": 6,
+    "SC": 7,
+    "SE": 8,
+    "US": 9
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.42.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

logs/train/events.out.tfevents.1734083426.iste.2400210.0.v2

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special_tokens_map.json

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+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tf_model.h5

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tokenizer_config.json

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+{
+  "added_tokens_decoder": {
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+  "do_lower_case": true,
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+  "pad_token": "[PAD]",
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+  "padding_side": "right",
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+  "stride": 0,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "[UNK]"
+}