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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: bnc-cbt-log-rarity-mixed
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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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# bnc-cbt-log-rarity-mixed
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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: 4.0803
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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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| 6.3678 | 0.29 | 500 | 5.3083 |
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| 5.0506 | 0.58 | 1000 | 4.8988 |
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| 4.727 | 0.87 | 1500 | 4.6664 |
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| 4.4606 | 1.16 | 2000 | 4.5274 |
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| 4.3096 | 1.45 | 2500 | 4.4089 |
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| 4.213 | 1.75 | 3000 | 4.3013 |
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| 4.0894 | 2.04 | 3500 | 4.2301 |
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| 3.9068 | 2.33 | 4000 | 4.1861 |
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| 3.8675 | 2.62 | 4500 | 4.1276 |
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| 3.8433 | 2.91 | 5000 | 4.0819 |
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| 3.6581 | 3.2 | 5500 | 4.0743 |
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| 3.5934 | 3.49 | 6000 | 4.0511 |
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| 3.5814 | 3.78 | 6500 | 4.0203 |
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| 3.4978 | 4.07 | 7000 | 4.0150 |
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| 3.326 | 4.36 | 7500 | 4.0140 |
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| 3.3207 | 4.65 | 8000 | 4.0007 |
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| 3.308 | 4.94 | 8500 | 3.9894 |
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| 3.1751 | 5.24 | 9000 | 4.0029 |
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| 3.144 | 5.53 | 9500 | 4.0021 |
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| 3.1408 | 5.82 | 10000 | 4.0013 |
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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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