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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-len |
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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-len |
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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: 4.8452 |
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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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| 6.4465 | 0.31 | 500 | 5.5455 | |
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| 5.1194 | 0.62 | 1000 | 5.1702 | |
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| 4.7736 | 0.94 | 1500 | 5.0228 | |
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| 4.5064 | 1.25 | 2000 | 4.9752 | |
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| 4.3839 | 1.56 | 2500 | 4.8636 | |
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| 4.2864 | 1.87 | 3000 | 4.7875 | |
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| 4.1137 | 2.19 | 3500 | 4.7734 | |
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| 4.0249 | 2.5 | 4000 | 4.7316 | |
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| 3.9841 | 2.81 | 4500 | 4.7210 | |
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| 3.8607 | 3.12 | 5000 | 4.7148 | |
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| 3.7214 | 3.44 | 5500 | 4.7177 | |
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| 3.7078 | 3.75 | 6000 | 4.6981 | |
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| 3.6456 | 4.06 | 6500 | 4.7174 | |
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| 3.4475 | 4.37 | 7000 | 4.7426 | |
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| 3.4411 | 4.68 | 7500 | 4.7503 | |
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| 3.4265 | 5.0 | 8000 | 4.7376 | |
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| 3.2581 | 5.31 | 8500 | 4.7947 | |
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| 3.2567 | 5.62 | 9000 | 4.7966 | |
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| 3.2505 | 5.93 | 9500 | 4.7984 | |
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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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