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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/distilbert_rand_10_v1
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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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+ model-index:
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+ - name: distilbert_rand_10_v1_sst2
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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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+ # distilbert_rand_10_v1_sst2
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+
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+ This model is a fine-tuned version of [Hartunka/distilbert_rand_10_v1](https://huggingface.co/Hartunka/distilbert_rand_10_v1) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6284
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+ - Accuracy: 0.8188
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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 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.3899 | 1.0 | 264 | 0.4556 | 0.8177 |
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+ | 0.2228 | 2.0 | 528 | 0.5010 | 0.8142 |
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+ | 0.1643 | 3.0 | 792 | 0.5151 | 0.7993 |
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+ | 0.1223 | 4.0 | 1056 | 0.5864 | 0.8245 |
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+ | 0.093 | 5.0 | 1320 | 0.5815 | 0.8188 |
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+ | 0.0743 | 6.0 | 1584 | 0.6284 | 0.8188 |
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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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