77 lines
2.2 KiB
Markdown
77 lines
2.2 KiB
Markdown
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---
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library_name: transformers
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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: gpt2-poems-finetuned-v1
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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-poems-finetuned-v1
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.8988
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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: 2e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 16
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 5
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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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| 4.2281 | 0.3193 | 500 | 4.0769 |
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| 4.1077 | 0.6385 | 1000 | 4.0222 |
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| 4.0667 | 0.9578 | 1500 | 3.9898 |
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| 4.0905 | 1.2765 | 2000 | 3.9738 |
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| 4.008 | 1.5957 | 2500 | 3.9561 |
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| 4.0071 | 1.9150 | 3000 | 3.9448 |
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| 3.9696 | 2.2337 | 3500 | 3.9376 |
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| 3.9984 | 2.5530 | 4000 | 3.9289 |
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| 3.9279 | 2.8722 | 4500 | 3.9212 |
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| 3.9569 | 3.1909 | 5000 | 3.9181 |
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| 3.9598 | 3.5102 | 5500 | 3.9154 |
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| 3.9403 | 3.8294 | 6000 | 3.9126 |
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| 3.908 | 4.1481 | 6500 | 3.9117 |
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| 3.9344 | 4.4674 | 7000 | 3.9109 |
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| 3.9645 | 4.7867 | 7500 | 3.9105 |
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### Framework versions
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- Transformers 4.57.6
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- Pytorch 2.9.1+cu126
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- Datasets 4.5.0
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- Tokenizers 0.22.2
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