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README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: ConfliBERT-multilingual-cased
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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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/naifalatrush/huggingface/runs/pkmv6f0x)
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+ # ConfliBERT-multilingual-cased
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+
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+ This model is a fine-tuned version of [../models/bert-base-multilingual-cased](https://huggingface.co/../models/bert-base-multilingual-cased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8142
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+ - Accuracy: 0.8094
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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: 5e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3.0
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.0.dev0
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+ - Pytorch 2.2.0.dev20231003+cu121
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+ - Datasets 2.14.5
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+ - Tokenizers 0.19.1
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+ }
tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ "clean_up_tokenization_spaces": true,
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+ "tokenize_chinese_chars": true,
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+ "tokenizer_class": "BertTokenizer",
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+ "unk_token": "[UNK]"
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+ }
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+ {
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+ "train_samples": 18594579,
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+ "train_samples_per_second": 77.988,
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+ "train_steps_per_second": 2.437
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+ }
trainer_state.json ADDED
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vocab.txt ADDED
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