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End of training

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README.md ADDED
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+ ---
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+ license: cc-by-nc-4.0
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+ base_model: FacebookAI/xlm-mlm-enfr-1024
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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: xlm-tune
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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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+ # xlm-tune
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+
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+ This model is a fine-tuned version of [FacebookAI/xlm-mlm-enfr-1024](https://huggingface.co/FacebookAI/xlm-mlm-enfr-1024) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8696
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+ - Accuracy: 0.6714
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+ - F1: 0.6569
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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: 8
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+ - eval_batch_size: 8
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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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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 5
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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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+ | 0.7721 | 1.0 | 53 | 0.8696 | 0.6714 | 0.6569 |
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+ | 0.6763 | 2.0 | 106 | 0.9178 | 0.7071 | 0.6996 |
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+ | 0.5875 | 3.0 | 159 | 1.2187 | 0.6214 | 0.6316 |
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+ | 0.4608 | 4.0 | 212 | 0.9915 | 0.7071 | 0.7201 |
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+ | 0.5276 | 5.0 | 265 | 1.4392 | 0.55 | 0.5780 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.43.3
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+ - Pytorch 2.4.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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