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README.md ADDED
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+ ---
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+ base_model: Hartunka/tiny_bert_rand_100_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: tiny_bert_rand_100_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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+ # tiny_bert_rand_100_v1_sst2
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+
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+ This model is a fine-tuned version of [Hartunka/tiny_bert_rand_100_v1](https://huggingface.co/Hartunka/tiny_bert_rand_100_v1) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8532
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+ - Accuracy: 0.7833
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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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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+ | 0.4222 | 1.0 | 264 | 0.4504 | 0.8096 |
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+ | 0.2388 | 2.0 | 528 | 0.5902 | 0.7798 |
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+ | 0.1889 | 3.0 | 792 | 0.5326 | 0.7936 |
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+ | 0.1546 | 4.0 | 1056 | 0.5878 | 0.8039 |
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+ | 0.1291 | 5.0 | 1320 | 0.7141 | 0.7890 |
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+ | 0.1088 | 6.0 | 1584 | 0.8532 | 0.7833 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.0
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.5.0
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+ - Tokenizers 0.19.1
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