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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-iso29148-nf_sub_req-embdr
+  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-iso29148-nf_sub_req-embdr
+
+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: 2.1511
+- Validation Loss: 2.3317
+- Epoch: 29
+
+## 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': 270, '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 | Validation Loss | Epoch |
+|:----------:|:---------------:|:-----:|
+| 2.7091     | 2.7071          | 0     |
+| 2.6985     | 2.7027          | 1     |
+| 2.6918     | 2.6973          | 2     |
+| 2.6773     | 2.6898          | 3     |
+| 2.6661     | 2.6802          | 4     |
+| 2.6445     | 2.6683          | 5     |
+| 2.6254     | 2.6545          | 6     |
+| 2.6012     | 2.6390          | 7     |
+| 2.5743     | 2.6219          | 8     |
+| 2.5453     | 2.6027          | 9     |
+| 2.5160     | 2.5818          | 10    |
+| 2.4806     | 2.5587          | 11    |
+| 2.4560     | 2.5357          | 12    |
+| 2.4157     | 2.5126          | 13    |
+| 2.3972     | 2.4922          | 14    |
+| 2.3592     | 2.4719          | 15    |
+| 2.3356     | 2.4495          | 16    |
+| 2.3171     | 2.4337          | 17    |
+| 2.2835     | 2.4169          | 18    |
+| 2.2617     | 2.4000          | 19    |
+| 2.2424     | 2.3856          | 20    |
+| 2.2282     | 2.3738          | 21    |
+| 2.2124     | 2.3625          | 22    |
+| 2.2028     | 2.3552          | 23    |
+| 2.1886     | 2.3472          | 24    |
+| 2.1780     | 2.3425          | 25    |
+| 2.1655     | 2.3373          | 26    |
+| 2.1571     | 2.3344          | 27    |
+| 2.1571     | 2.3324          | 28    |
+| 2.1511     | 2.3317          | 29    |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- 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": "AC",
+    "2": "AU",
+    "3": "FT",
+    "4": "I",
+    "5": "LE",
+    "6": "LF",
+    "7": "MN",
+    "8": "O",
+    "9": "PE",
+    "10": "PO",
+    "11": "SA",
+    "12": "SC",
+    "13": "SE",
+    "14": "US"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "label2id": {
+    "A": 0,
+    "AC": 1,
+    "AU": 2,
+    "FT": 3,
+    "I": 4,
+    "LE": 5,
+    "LF": 6,
+    "MN": 7,
+    "O": 8,
+    "PE": 9,
+    "PO": 10,
+    "SA": 11,
+    "SC": 12,
+    "SE": 13,
+    "US": 14
+  },
+  "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": "4.40.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

logs/train/events.out.tfevents.1717621871.iste.2283663.0.v2

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special_tokens_map.json

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tf_model.h5

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tokenizer_config.json

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+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "[UNK]"
+}