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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: gpt2-dp-mod-datasets-txt-processing
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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-dp-mod-datasets-txt-processing
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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: 4.3761
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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: 7
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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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| 6.6775 | 0.28 | 500 | 5.6723 |
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| 5.3325 | 0.55 | 1000 | 5.2436 |
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| 4.9992 | 0.83 | 1500 | 5.0034 |
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| 4.7425 | 1.1 | 2000 | 4.8449 |
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| 4.5796 | 1.38 | 2500 | 4.7369 |
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| 4.4803 | 1.66 | 3000 | 4.6477 |
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| 4.4001 | 1.93 | 3500 | 4.5614 |
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| 4.1974 | 2.21 | 4000 | 4.5262 |
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| 4.1371 | 2.48 | 4500 | 4.4672 |
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| 4.1121 | 2.76 | 5000 | 4.4112 |
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| 4.036 | 3.04 | 5500 | 4.3790 |
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| 3.8293 | 3.31 | 6000 | 4.3736 |
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| 3.8346 | 3.59 | 6500 | 4.3358 |
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| 3.8169 | 3.86 | 7000 | 4.3052 |
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| 3.6622 | 4.14 | 7500 | 4.3171 |
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| 3.546 | 4.42 | 8000 | 4.3083 |
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| 3.5542 | 4.69 | 8500 | 4.2896 |
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| 3.5409 | 4.97 | 9000 | 4.2722 |
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| 3.3117 | 5.24 | 9500 | 4.2998 |
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| 3.298 | 5.52 | 10000 | 4.2969 |
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| 3.2941 | 5.79 | 10500 | 4.2904 |
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| 3.24 | 6.07 | 11000 | 4.2975 |
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| 3.1365 | 6.35 | 11500 | 4.3027 |
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| 3.1357 | 6.62 | 12000 | 4.3033 |
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| 3.1363 | 6.9 | 12500 | 4.3034 |
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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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