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README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: tiny-gpt2-magicprompt
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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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# tiny-gpt2-magicprompt
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This model is a fine-tuned version of [sshleifer/tiny-gpt2](https://huggingface.co/sshleifer/tiny-gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 10.7918
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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: 0.0001
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- train_batch_size: 8
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- gradient_accumulation_steps: 32
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- total_train_batch_size: 512
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- total_eval_batch_size: 4
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.05
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- num_epochs: 10.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 10.8201 | 0.96 | 16 | 10.8191 |
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| 10.8167 | 1.96 | 32 | 10.8145 |
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| 10.8117 | 2.96 | 48 | 10.8095 |
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| 10.8058 | 3.96 | 64 | 10.8025 |
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| 10.7997 | 4.96 | 80 | 10.7989 |
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| 10.7959 | 5.96 | 96 | 10.7947 |
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| 10.7934 | 6.96 | 112 | 10.7925 |
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| 10.7924 | 7.96 | 128 | 10.7919 |
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| 10.7921 | 8.96 | 144 | 10.7918 |
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| 10.792 | 9.96 | 160 | 10.7918 |
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### Framework versions
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- Transformers 4.25.0.dev0
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- Pytorch 1.13.0+cu117
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- Datasets 2.6.1
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- Tokenizers 0.13.1
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