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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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datasets:
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- generator
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model-index:
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- name: aochildes-cbt-log-rarity
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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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# aochildes-cbt-log-rarity
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.1483
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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: 0.0005
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- train_batch_size: 64
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- eval_batch_size: 64
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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: cosine
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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 6
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 6.3649 | 0.29 | 500 | 5.3433 |
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| 5.0506 | 0.59 | 1000 | 4.9337 |
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| 4.7079 | 0.88 | 1500 | 4.6957 |
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| 4.4512 | 1.17 | 2000 | 4.5593 |
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| 4.3031 | 1.47 | 2500 | 4.4458 |
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| 4.2085 | 1.76 | 3000 | 4.3418 |
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| 4.0809 | 2.05 | 3500 | 4.2739 |
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| 3.9047 | 2.35 | 4000 | 4.2277 |
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| 3.8846 | 2.64 | 4500 | 4.1774 |
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| 3.8392 | 2.93 | 5000 | 4.1313 |
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| 3.6392 | 3.23 | 5500 | 4.1305 |
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| 3.6016 | 3.52 | 6000 | 4.1020 |
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| 3.5828 | 3.81 | 6500 | 4.0709 |
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| 3.4733 | 4.11 | 7000 | 4.0797 |
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| 3.3271 | 4.4 | 7500 | 4.0758 |
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| 3.3228 | 4.69 | 8000 | 4.0635 |
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| 3.3147 | 4.99 | 8500 | 4.0528 |
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| 3.154 | 5.28 | 9000 | 4.0692 |
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| 3.1461 | 5.58 | 9500 | 4.0692 |
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| 3.1416 | 5.87 | 10000 | 4.0684 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.11.0+cu113
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- Datasets 2.13.0
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- Tokenizers 0.13.3
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