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loha_fine_tuned_copa_croslo

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README.md ADDED
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+ ---
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+ license: cc-by-4.0
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ base_model: EMBEDDIA/crosloengual-bert
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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: loha_fine_tuned_copa_croslo
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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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+ # loha_fine_tuned_copa_croslo
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+
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+ This model is a fine-tuned version of [EMBEDDIA/crosloengual-bert](https://huggingface.co/EMBEDDIA/crosloengual-bert) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2211
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+ - Accuracy: 0.58
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+ - F1: 0.5810
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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: 0.003
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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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+ - training_steps: 400
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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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+ | 0.7164 | 1.0 | 50 | 0.6935 | 0.51 | 0.5095 |
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+ | 0.6335 | 2.0 | 100 | 0.6819 | 0.49 | 0.4894 |
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+ | 0.5152 | 3.0 | 150 | 0.6831 | 0.57 | 0.5683 |
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+ | 0.353 | 4.0 | 200 | 0.7947 | 0.59 | 0.5910 |
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+ | 0.2314 | 5.0 | 250 | 0.8754 | 0.6 | 0.6 |
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+ | 0.0845 | 6.0 | 300 | 1.1719 | 0.59 | 0.5904 |
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+ | 0.0734 | 7.0 | 350 | 1.1997 | 0.57 | 0.5709 |
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+ | 0.0537 | 8.0 | 400 | 1.2211 | 0.58 | 0.5810 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.10.1.dev0
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+ - Transformers 4.40.1
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+ - Pytorch 2.3.0
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
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