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--- |
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license: mit |
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base_model: gpt2-xl |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: custom |
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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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# custom |
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This model is a fine-tuned version of [gpt2-xl](https://huggingface.co./gpt2-xl) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3280 |
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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: 0.001 |
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- train_batch_size: 32 |
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- eval_batch_size: 48 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.5844 | 0.68 | 200 | 1.4102 | |
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| 1.4081 | 1.37 | 400 | 1.3670 | |
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| 1.3422 | 2.05 | 600 | 1.3424 | |
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| 1.2711 | 2.73 | 800 | 1.3310 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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