66 lines
1.7 KiB
Markdown
66 lines
1.7 KiB
Markdown
---
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library_name: transformers
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license: apache-2.0
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base_model: distilbert/distilgpt2
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tags:
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- generated_from_trainer
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model-index:
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- name: distilgpt2-finetuned-eli5
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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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# distilgpt2-finetuned-eli5
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This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.6464
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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: 5e-05
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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: 2
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- total_train_batch_size: 32
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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: 0.05
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- num_epochs: 4
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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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| 3.7702 | 1.0 | 423 | 3.6792 |
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| 3.7318 | 2.0 | 846 | 3.6573 |
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| 3.7 | 3.0 | 1269 | 3.6481 |
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| 3.672 | 4.0 | 1692 | 3.6464 |
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### Framework versions
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- Transformers 4.57.6
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- Pytorch 2.9.1+cu128
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- Datasets 4.5.0
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- Tokenizers 0.22.2
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