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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: gpt2-concat-simple-wiki-mod |
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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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# gpt2-concat-simple-wiki-mod |
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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: 4.3273 |
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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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| 6.6721 | 0.29 | 500 | 5.6311 | |
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| 5.3162 | 0.59 | 1000 | 5.2012 | |
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| 4.9814 | 0.88 | 1500 | 4.9493 | |
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| 4.708 | 1.17 | 2000 | 4.8102 | |
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| 4.5523 | 1.47 | 2500 | 4.6918 | |
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| 4.4524 | 1.76 | 3000 | 4.5941 | |
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| 4.3303 | 2.06 | 3500 | 4.5209 | |
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| 4.1432 | 2.35 | 4000 | 4.4726 | |
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| 4.1182 | 2.64 | 4500 | 4.4154 | |
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| 4.0753 | 2.94 | 5000 | 4.3598 | |
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| 3.8614 | 3.23 | 5500 | 4.3514 | |
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| 3.8147 | 3.52 | 6000 | 4.3176 | |
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| 3.7996 | 3.82 | 6500 | 4.2839 | |
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| 3.6896 | 4.11 | 7000 | 4.2834 | |
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| 3.5307 | 4.4 | 7500 | 4.2783 | |
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| 3.5227 | 4.7 | 8000 | 4.2595 | |
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| 3.5108 | 4.99 | 8500 | 4.2484 | |
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| 3.3413 | 5.28 | 9000 | 4.2624 | |
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| 3.3338 | 5.58 | 9500 | 4.2605 | |
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| 3.3305 | 5.87 | 10000 | 4.2597 | |
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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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