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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: roberta-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - f1
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+ model-index:
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+ - name: roberta-base-goodreads-bookgenres-Description_cls-6e
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # roberta-base-goodreads-bookgenres-Description_cls-6e
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+
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+ This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2130
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+ - F1: 0.6717
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 4e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 128
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-10
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.04
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+ - num_epochs: 6.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.3118 | 1.0 | 62 | 0.2885 | 0.3362 |
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+ | 0.2676 | 2.0 | 124 | 0.2511 | 0.4882 |
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+ | 0.2325 | 3.0 | 186 | 0.2272 | 0.6093 |
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+ | 0.2127 | 4.0 | 248 | 0.2181 | 0.6591 |
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+ | 0.1978 | 5.0 | 310 | 0.2140 | 0.6686 |
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+ | 0.1817 | 6.0 | 372 | 0.2130 | 0.6717 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.3
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+ - Pytorch 2.2.0.dev20231001+cu121
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
config.json ADDED
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+ {
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+ "_name_or_path": "roberta-base",
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+ "architectures": [
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+ "RobertaForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "bos_token_id": 0,
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+ "classifier_dropout": null,
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+ "eos_token_id": 2,
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+ "finetuning_task": "text-classification",
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "History & Politics",
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+ "1": "Health & Medicine",
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+ "2": "Mystery & Thriller",
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+ "3": "Arts & Design",
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+ "4": "Self-Help & Wellness",
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+ "5": "Sports & Recreation",
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+ "6": "Non-Fiction",
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+ "7": "Science Fiction & Fantasy",
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+ "8": "Countries & Geography",
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+ "9": "Other",
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+ "10": "Nature & Environment",
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+ "11": "Business & Finance",
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+ "12": "Romance",
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+ "13": "Philosophy & Religion",
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+ "14": "Literature & Fiction",
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+ "15": "Science & Technology",
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+ "16": "Children & Young Adult",
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+ "17": "Food & Cooking"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "Literature & Fiction": 14,
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+ "Non-Fiction": 6,
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+ "Other": 9,
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+ "Self-Help & Wellness": 4,
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+ "Sports & Recreation": 5
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 514,
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+ "model_type": "roberta",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 1,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "multi_label_classification",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.33.3",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
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