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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-f_nf_req-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-f_nf_req-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: 0.0019
+- Validation Loss: 0.6444
+- 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': 4710, '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 |
+|:----------:|:---------------:|:-----:|
+| 0.4775     | 0.3493          | 0     |
+| 0.2723     | 0.3205          | 1     |
+| 0.1702     | 0.3163          | 2     |
+| 0.0925     | 0.3759          | 3     |
+| 0.0803     | 0.4358          | 4     |
+| 0.0444     | 0.5255          | 5     |
+| 0.0227     | 0.5733          | 6     |
+| 0.0342     | 0.5173          | 7     |
+| 0.0231     | 0.5098          | 8     |
+| 0.0144     | 0.5852          | 9     |
+| 0.0067     | 0.6479          | 10    |
+| 0.0039     | 0.7709          | 11    |
+| 0.0222     | 0.5779          | 12    |
+| 0.0144     | 0.6940          | 13    |
+| 0.0213     | 0.5848          | 14    |
+| 0.0047     | 0.6554          | 15    |
+| 0.0036     | 0.6801          | 16    |
+| 0.0011     | 0.7073          | 17    |
+| 0.0082     | 0.7724          | 18    |
+| 0.0084     | 0.6025          | 19    |
+| 0.0009     | 0.6345          | 20    |
+| 0.0034     | 0.6718          | 21    |
+| 0.0032     | 0.6396          | 22    |
+| 0.0030     | 0.6050          | 23    |
+| 0.0005     | 0.6186          | 24    |
+| 0.0006     | 0.6282          | 25    |
+| 0.0005     | 0.6337          | 26    |
+| 0.0004     | 0.6417          | 27    |
+| 0.0003     | 0.6447          | 28    |
+| 0.0019     | 0.6444          | 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": "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": "F",
+    "1": "NF"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "F": 0,
+    "NF": 1
+  },
+  "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.1715690933.iste.1020104.0.v2

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logs/validation/events.out.tfevents.1715690995.iste.1020104.1.v2

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special_tokens_map.json

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

tf_model.h5

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tokenizer_config.json

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+{
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+  "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>"
+}