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README.md

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+---
+license: mit
+base_model: FacebookAI/roberta-base
+tags:
+- generated_from_keras_callback
+model-index:
+- name: kasrahabib/roberta-base-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/roberta-base-finetuned-iso29148-nf_sub_req-embdr
+
+This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.2271
+- Validation Loss: 1.1748
+- Epoch: 28
+
+## 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 |
+|:----------:|:---------------:|:-----:|
+| 2.7150     | 2.7090          | 0     |
+| 2.7106     | 2.7061          | 1     |
+| 2.7015     | 2.6931          | 2     |
+| 2.6525     | 2.5762          | 3     |
+| 2.4332     | 2.3630          | 4     |
+| 2.1599     | 2.1870          | 5     |
+| 1.8809     | 1.9794          | 6     |
+| 1.5991     | 1.8176          | 7     |
+| 1.3476     | 1.6919          | 8     |
+| 1.1429     | 1.5773          | 9     |
+| 0.9575     | 1.5046          | 10    |
+| 0.8359     | 1.4401          | 11    |
+| 0.7214     | 1.3629          | 12    |
+| 0.6201     | 1.3406          | 13    |
+| 0.5340     | 1.2802          | 14    |
+| 0.4736     | 1.2671          | 15    |
+| 0.4211     | 1.2233          | 16    |
+| 0.3728     | 1.2301          | 17    |
+| 0.3480     | 1.2146          | 18    |
+| 0.3166     | 1.2167          | 19    |
+| 0.2984     | 1.1933          | 20    |
+| 0.2755     | 1.1834          | 21    |
+| 0.2598     | 1.1929          | 22    |
+| 0.2473     | 1.1896          | 23    |
+| 0.2423     | 1.1951          | 24    |
+| 0.2370     | 1.1957          | 25    |
+| 0.2295     | 1.1864          | 26    |
+| 0.2280     | 1.1764          | 27    |
+| 0.2271     | 1.1748          | 28    |
+
+
+### 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": "FacebookAI/roberta-base",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "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": 3072,
+  "label2id": {
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+    "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-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.40.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

logs/train/events.out.tfevents.1717619724.iste.2256849.0.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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+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
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+  "errors": "replace",
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}