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--- |
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license: mit |
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base_model: gpt2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: constant_with_warmup_2000_9e-4_16b_w0.08 |
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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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# constant_with_warmup_2000_9e-4_16b_w0.08 |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.8710 |
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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: 0.0009 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 256 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant_with_warmup |
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- lr_scheduler_warmup_steps: 250 |
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- training_steps: 2000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 6.293 | 0.7930 | 250 | 4.7425 | |
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| 4.0889 | 1.5860 | 500 | 3.5180 | |
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| 3.2871 | 2.3791 | 750 | 3.1743 | |
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| 3.0032 | 3.1721 | 1000 | 3.0286 | |
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| 2.8278 | 3.9651 | 1250 | 2.9422 | |
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| 2.6539 | 4.7581 | 1500 | 2.9041 | |
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| 2.5482 | 5.5511 | 1750 | 2.8808 | |
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| 2.4602 | 6.3442 | 2000 | 2.8710 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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