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fresh-2-layer-qasc5000-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-qasc5000-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-qasc5000-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: 14.9541
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+ - Accuracy: 0.4949
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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 | 0.64 | 100 | 14.0782 | 0.3131 |
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+ | No log | 1.27 | 200 | 15.6534 | 0.4596 |
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+ | No log | 1.91 | 300 | 16.2410 | 0.4293 |
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+ | No log | 2.55 | 400 | 14.4394 | 0.4495 |
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+ | 1.861 | 3.18 | 500 | 15.1088 | 0.4646 |
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+ | 1.861 | 3.82 | 600 | 14.4621 | 0.4848 |
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+ | 1.861 | 4.46 | 700 | 15.0037 | 0.4596 |
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+ | 1.861 | 5.1 | 800 | 15.6656 | 0.4293 |
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+ | 1.861 | 5.73 | 900 | 15.1955 | 0.4343 |
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+ | 0.2711 | 6.37 | 1000 | 14.9541 | 0.4949 |
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+ | 0.2711 | 7.01 | 1100 | 14.5891 | 0.4646 |
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+ | 0.2711 | 7.64 | 1200 | 15.4136 | 0.4747 |
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+ | 0.2711 | 8.28 | 1300 | 15.4486 | 0.4697 |
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+ | 0.2711 | 8.92 | 1400 | 14.5015 | 0.4848 |
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+ | 0.1568 | 9.55 | 1500 | 14.2260 | 0.4545 |
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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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