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aakarsh-nair/rerun-09-19-2024-experiment-distill-tree-babylm2024-95-1

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: rerun-09-19-2024-experiment-distill-tree-babylm2024-95-1
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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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+ # rerun-09-19-2024-experiment-distill-tree-babylm2024-95-1
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.0665
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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: 0.00025
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+ - train_batch_size: 64
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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: cosine
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+ - lr_scheduler_warmup_steps: 200
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+ - num_epochs: 10
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 7.0069 | 1.0 | 2065 | 7.4068 |
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+ | 3.7952 | 2.0 | 4130 | 4.2014 |
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+ | 2.9621 | 3.0 | 6195 | 3.3890 |
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+ | 2.6124 | 4.0 | 8260 | 2.9090 |
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+ | 2.2 | 5.0 | 10325 | 2.6031 |
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+ | 2.0533 | 6.0 | 12390 | 2.3690 |
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+ | 1.8556 | 7.0 | 14455 | 2.2142 |
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+ | 1.7613 | 8.0 | 16520 | 2.1214 |
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+ | 1.6772 | 9.0 | 18585 | 2.0749 |
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+ | 1.7112 | 10.0 | 20650 | 2.0665 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.0.dev0
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+ - Pytorch 2.4.0+cu121
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+ - Tokenizers 0.19.1
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