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Text Classification
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xlm-roberta
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  2. config.json +46 -0
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README.md ADDED
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+ ---
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+ base_model: cardiffnlp/twitter-xlm-roberta-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: results
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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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+ # results
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+
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+ This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 0.3651
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+ - eval_label_0_f1: 0.7305
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+ - eval_label_0_accuracy: 0.9498
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+ - eval_label_1_f1: 0.8458
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+ - eval_label_1_accuracy: 0.8573
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+ - eval_label_2_f1: 0.7816
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+ - eval_label_2_accuracy: 0.9576
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+ - eval_label_3_f1: 0.7638
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+ - eval_label_3_accuracy: 0.9097
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+ - eval_label_4_f1: 0.6438
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+ - eval_label_4_accuracy: 0.9420
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+ - eval_label_5_f1: 0.6857
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+ - eval_label_5_accuracy: 0.9755
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+ - eval_runtime: 5.7337
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+ - eval_samples_per_second: 156.444
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+ - eval_steps_per_second: 5.058
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+ - epoch: 5.0
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+ - step: 795
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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: 1e-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: 10
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.1.2
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
config.json ADDED
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+ {
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+ "_name_or_path": "cardiffnlp/twitter-xlm-roberta-base",
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+ "architectures": [
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+ "XLMRobertaForSequenceClassification"
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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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+ "gradient_checkpointing": false,
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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": "LABEL_0",
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+ "1": "LABEL_1",
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+ "2": "LABEL_2",
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+ "3": "LABEL_3",
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+ },
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+ "initializer_range": 0.02,
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+ "label2id": {
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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": "xlm-roberta",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "output_past": true,
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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": "4.39.3",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 250002
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+ }
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