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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: lxyuan/distilbert-base-multilingual-cased-sentiments-student
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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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+ - f1
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+ model-index:
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+ - name: text_twitter_test
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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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+ # text_twitter_test
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+
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+ This model is a fine-tuned version of [lxyuan/distilbert-base-multilingual-cased-sentiments-student](https://huggingface.co/lxyuan/distilbert-base-multilingual-cased-sentiments-student) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0713
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+ - Accuracy: 0.7382
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+ - F1: 0.7380
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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: 2e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 5
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 487 | 0.7013 | 0.6940 | 0.6855 |
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+ | 0.8381 | 2.0 | 974 | 0.6648 | 0.7259 | 0.7194 |
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+ | 0.5477 | 3.0 | 1461 | 0.8745 | 0.7372 | 0.7355 |
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+ | 0.3541 | 4.0 | 1948 | 1.0713 | 0.7382 | 0.7380 |
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+ | 0.2734 | 5.0 | 2435 | 1.2238 | 0.7351 | 0.7332 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.49.0
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.4.1
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+ - Tokenizers 0.21.1
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