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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: polynomial_2000_9e-4_32b_w0.08_cased |
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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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# polynomial_2000_9e-4_32b_w0.08_cased |
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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: 3.1523 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 512 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: polynomial |
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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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| 6.3307 | 1.9203 | 250 | 4.7026 | |
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| 3.8482 | 3.8406 | 500 | 3.4062 | |
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| 3.0517 | 5.7609 | 750 | 3.1624 | |
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| 2.7001 | 7.6812 | 1000 | 3.0874 | |
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| 2.4363 | 9.6015 | 1250 | 3.0764 | |
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| 2.2164 | 11.5218 | 1500 | 3.0995 | |
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| 2.0174 | 13.4422 | 1750 | 3.1357 | |
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| 1.855 | 15.3625 | 2000 | 3.1523 | |
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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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