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gpt-neo-2.7B-cs-finetuning-500-1

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: EleutherAI/gpt-neo-2.7B
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: gpt-neo-2.7B-cs-finetuning-500-1
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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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+ # gpt-neo-2.7B-cs-finetuning-500-1
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+
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+ This model is a fine-tuned version of [EleutherAI/gpt-neo-2.7B](https://huggingface.co/EleutherAI/gpt-neo-2.7B) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.0095
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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: 2e-05
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+ - train_batch_size: 8
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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: linear
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+ - num_epochs: 3.0
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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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+ | No log | 1.0 | 51 | 2.8264 |
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+ | No log | 2.0 | 102 | 2.8271 |
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+ | No log | 3.0 | 153 | 3.0095 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.2
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+ - Pytorch 2.2.1
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+ - Datasets 2.12.0
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+ - Tokenizers 0.15.1
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+ "layer_norm_epsilon": 1e-05,
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+ "vocab_size": 50257,
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