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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-km_propogated_nf_subs_label_req
+  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-km_propogated_nf_subs_label_req
+
+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: 0.0107
+- Validation Loss: 0.2354
+- Epoch: 14
+
+## 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': 2295, '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 |
+|:----------:|:---------------:|:-----:|
+| 1.4530     | 0.5649          | 0     |
+| 0.3927     | 0.3094          | 1     |
+| 0.1669     | 0.2982          | 2     |
+| 0.1159     | 0.2857          | 3     |
+| 0.0808     | 0.2869          | 4     |
+| 0.0503     | 0.3065          | 5     |
+| 0.0272     | 0.2469          | 6     |
+| 0.0270     | 0.2287          | 7     |
+| 0.0221     | 0.2295          | 8     |
+| 0.0173     | 0.2659          | 9     |
+| 0.0298     | 0.2489          | 10    |
+| 0.0123     | 0.2287          | 11    |
+| 0.0104     | 0.2285          | 12    |
+| 0.0096     | 0.2302          | 13    |
+| 0.0107     | 0.2354          | 14    |
+
+
+### 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": "SA",
+    "11": "SC",
+    "12": "SE",
+    "13": "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,
+    "SA": 10,
+    "SC": 11,
+    "SE": 12,
+    "US": 13
+  },
+  "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.1718207625.iste.510440.0.v2

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special_tokens_map.json

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tokenizer_config.json

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+  "tokenizer_class": "RobertaTokenizer",
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+}