80 lines
2.3 KiB
Markdown
80 lines
2.3 KiB
Markdown
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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: cbt-guten-rarity-all-est-2p5k-guten
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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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# cbt-guten-rarity-all-est-2p5k-guten
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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: 4.1100
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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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| 6.3376 | 0.29 | 500 | 5.3378 |
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| 5.0347 | 0.59 | 1000 | 4.9236 |
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| 4.7052 | 0.88 | 1500 | 4.6938 |
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| 4.4506 | 1.17 | 2000 | 4.5584 |
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| 4.2967 | 1.47 | 2500 | 4.4305 |
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| 4.1938 | 1.76 | 3000 | 4.3307 |
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| 4.079 | 2.05 | 3500 | 4.2585 |
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| 3.895 | 2.35 | 4000 | 4.2084 |
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| 3.8722 | 2.64 | 4500 | 4.1495 |
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| 3.8245 | 2.93 | 5000 | 4.1026 |
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| 3.6339 | 3.23 | 5500 | 4.0968 |
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| 3.5909 | 3.52 | 6000 | 4.0698 |
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| 3.5755 | 3.81 | 6500 | 4.0402 |
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| 3.4668 | 4.11 | 7000 | 4.0409 |
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| 3.3194 | 4.4 | 7500 | 4.0353 |
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| 3.3196 | 4.69 | 8000 | 4.0179 |
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| 3.3088 | 4.99 | 8500 | 4.0070 |
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| 3.1488 | 5.28 | 9000 | 4.0193 |
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| 3.1429 | 5.58 | 9500 | 4.0183 |
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| 3.1402 | 5.87 | 10000 | 4.0178 |
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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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