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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-promise-km-labels-all-cls
+  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-promise-km-labels-all-cls
+
+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: 0.0093
+- Validation Loss: 0.1119
+- 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': 2370, '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 |
+|:----------:|:---------------:|:-----:|
+| 2.2048     | 1.6598          | 0     |
+| 1.1216     | 0.5631          | 1     |
+| 0.3896     | 0.2574          | 2     |
+| 0.1978     | 0.1997          | 3     |
+| 0.1204     | 0.1526          | 4     |
+| 0.0676     | 0.1887          | 5     |
+| 0.0435     | 0.1289          | 6     |
+| 0.0338     | 0.1219          | 7     |
+| 0.0291     | 0.1140          | 8     |
+| 0.0372     | 0.1829          | 9     |
+| 0.0655     | 0.2036          | 10    |
+| 0.0654     | 0.3368          | 11    |
+| 0.1950     | 0.3786          | 12    |
+| 0.0544     | 0.1708          | 13    |
+| 0.0195     | 0.1446          | 14    |
+| 0.0166     | 0.1364          | 15    |
+| 0.0154     | 0.1302          | 16    |
+| 0.0136     | 0.1272          | 17    |
+| 0.0127     | 0.1251          | 18    |
+| 0.0119     | 0.1248          | 19    |
+| 0.0115     | 0.1231          | 20    |
+| 0.0112     | 0.1214          | 21    |
+| 0.0107     | 0.1190          | 22    |
+| 0.0104     | 0.1166          | 23    |
+| 0.0100     | 0.1157          | 24    |
+| 0.0095     | 0.1131          | 25    |
+| 0.0096     | 0.1126          | 26    |
+| 0.0092     | 0.1120          | 27    |
+| 0.0094     | 0.1119          | 28    |
+| 0.0093     | 0.1119          | 29    |
+
+
+### 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": "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": "F",
+    "2": "FT",
+    "3": "L",
+    "4": "LF",
+    "5": "MN",
+    "6": "O",
+    "7": "PE",
+    "8": "SC",
+    "9": "SE",
+    "10": "US"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "A": 0,
+    "F": 1,
+    "FT": 2,
+    "L": 3,
+    "LF": 4,
+    "MN": 5,
+    "O": 6,
+    "PE": 7,
+    "SC": 8,
+    "SE": 9,
+    "US": 10
+  },
+  "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": "4.42.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

logs/train/events.out.tfevents.1724598448.iste.821582.0.v2

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special_tokens_map.json

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+    "single_word": false
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+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tf_model.h5

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tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
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+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}