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Model: StoyanN/stoyan-training Source: Original Platform
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README.md
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library_name: transformers
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license: mit
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base_model: openai-community/gpt2
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tags:
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- generated_from_trainer
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model-index:
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- name: stoyan-training
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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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# stoyan-training
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This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.7659
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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: 4
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- eval_batch_size: 3
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- seed: 42
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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: linear
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- num_epochs: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 4.152 | 1.0 | 5 | 3.9400 |
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| 3.9276 | 2.0 | 10 | 3.8854 |
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| 3.8264 | 3.0 | 15 | 3.8372 |
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| 3.7508 | 4.0 | 20 | 3.8021 |
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| 3.6969 | 5.0 | 25 | 3.7836 |
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| 3.686 | 6.0 | 30 | 3.7735 |
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| 3.622 | 7.0 | 35 | 3.7677 |
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| 3.5833 | 8.0 | 40 | 3.7659 |
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### Framework versions
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- Transformers 4.56.0
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- Pytorch 2.8.0+cu126
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- Datasets 4.0.0
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- Tokenizers 0.22.0
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