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update model card README.md
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README.md
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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: EthanHorror7
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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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# EthanHorror7
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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: 1.0296
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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: 10
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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 | 1 | 2.3768 |
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| No log | 2.0 | 2 | 1.9620 |
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| No log | 3.0 | 3 | 1.7432 |
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| No log | 4.0 | 4 | 1.5631 |
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| No log | 5.0 | 5 | 1.4120 |
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| No log | 6.0 | 6 | 1.2940 |
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| No log | 7.0 | 7 | 1.1950 |
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| No log | 8.0 | 8 | 1.1147 |
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| No log | 9.0 | 9 | 1.0586 |
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| No log | 10.0 | 10 | 1.0296 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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