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---
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license: mit
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base_model: EleutherAI/gpt-neo-125m
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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-125m-cs-finetuning-1000
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results: []
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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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# gpt-neo-125m-cs-finetuning-1000
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This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-neo-125m) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.5956
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 13 | 3.6788 |
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| No log | 2.0 | 26 | 3.6126 |
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| No log | 3.0 | 39 | 3.5956 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 1.13.1+cu117
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- Datasets 2.14.6
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- Tokenizers 0.15.0
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