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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: all-base
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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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# all-base
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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: 4.0294
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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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| 6.3489 | 0.29 | 500 | 5.3130 |
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| 5.0328 | 0.58 | 1000 | 4.8915 |
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| 4.6955 | 0.87 | 1500 | 4.6511 |
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| 4.4425 | 1.16 | 2000 | 4.5013 |
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| 4.2808 | 1.45 | 2500 | 4.3875 |
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| 4.1828 | 1.74 | 3000 | 4.2782 |
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| 4.0764 | 2.02 | 3500 | 4.1972 |
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| 3.8777 | 2.31 | 4000 | 4.1596 |
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| 3.8504 | 2.6 | 4500 | 4.1035 |
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| 3.8089 | 2.89 | 5000 | 4.0519 |
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| 3.6413 | 3.18 | 5500 | 4.0429 |
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| 3.5678 | 3.47 | 6000 | 4.0167 |
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| 3.5555 | 3.76 | 6500 | 3.9839 |
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| 3.4896 | 4.05 | 7000 | 3.9728 |
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| 3.2999 | 4.34 | 7500 | 3.9745 |
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| 3.2939 | 4.63 | 8000 | 3.9600 |
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| 3.2823 | 4.92 | 8500 | 3.9481 |
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| 3.1624 | 5.21 | 9000 | 3.9575 |
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| 3.1114 | 5.49 | 9500 | 3.9561 |
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| 3.113 | 5.78 | 10000 | 3.9550 |
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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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