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fresh-2-layer-qasc2000-distill-of-fresh-2-layer-gpqa_EVAL_gpqa

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README.md ADDED
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+ ---
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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: fresh-2-layer-qasc2000-distill-of-fresh-2-layer-gpqa_EVAL_gpqa
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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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+ # fresh-2-layer-qasc2000-distill-of-fresh-2-layer-gpqa_EVAL_gpqa
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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: 14.9062
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+ - Accuracy: 0.4192
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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: 0.0005
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 321
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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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+ - lr_scheduler_warmup_steps: 500
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+ - training_steps: 5000
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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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+ | No log | 1.59 | 100 | 14.0964 | 0.2980 |
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+ | No log | 3.17 | 200 | 15.9598 | 0.3788 |
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+ | No log | 4.76 | 300 | 14.9387 | 0.4091 |
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+ | No log | 6.35 | 400 | 14.1750 | 0.4091 |
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+ | 1.6819 | 7.94 | 500 | 16.7634 | 0.4091 |
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+ | 1.6819 | 9.52 | 600 | 14.9062 | 0.4192 |
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+ | 1.6819 | 11.11 | 700 | 13.9546 | 0.4091 |
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+ | 1.6819 | 12.7 | 800 | 14.2041 | 0.4091 |
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+ | 1.6819 | 14.29 | 900 | 15.2506 | 0.4040 |
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+ | 0.2306 | 15.87 | 1000 | 14.9041 | 0.4091 |
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+ | 0.2306 | 17.46 | 1100 | 14.9118 | 0.4141 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.0.dev0
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.0
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