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README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: Hartunka/tiny_bert_rand_50_v2
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - matthews_correlation
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+ - accuracy
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+ model-index:
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+ - name: tiny_bert_rand_50_v2_cola
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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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+ # tiny_bert_rand_50_v2_cola
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+
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+ This model is a fine-tuned version of [Hartunka/tiny_bert_rand_50_v2](https://huggingface.co/Hartunka/tiny_bert_rand_50_v2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7221
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+ - Matthews Correlation: 0.0817
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+ - Accuracy: 0.6376
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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: 256
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+ - eval_batch_size: 256
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+ - seed: 10
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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: 50
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------------------:|:--------:|
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+ | 0.6135 | 1.0 | 34 | 0.6176 | 0.0 | 0.6913 |
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+ | 0.6006 | 2.0 | 68 | 0.6197 | 0.0 | 0.6913 |
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+ | 0.5776 | 3.0 | 102 | 0.6242 | 0.0372 | 0.6903 |
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+ | 0.5383 | 4.0 | 136 | 0.6582 | 0.0622 | 0.6721 |
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+ | 0.4936 | 5.0 | 170 | 0.6671 | 0.0857 | 0.6491 |
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+ | 0.4569 | 6.0 | 204 | 0.7221 | 0.0817 | 0.6376 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.50.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.21.1
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