62 lines
1.5 KiB
Markdown
62 lines
1.5 KiB
Markdown
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---
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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: my_awesome_eli5_clm-model
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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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# my_awesome_eli5_clm-model
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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: 3.8673
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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: 16
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- eval_batch_size: 8
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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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- training_steps: 200
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 4.0119 | 0.0765 | 50 | 3.8949 |
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| 3.9812 | 0.1529 | 100 | 3.8786 |
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| 3.9448 | 0.2294 | 150 | 3.8693 |
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| 3.9492 | 0.3058 | 200 | 3.8673 |
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### Framework versions
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- Transformers 5.12.0
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- Pytorch 2.12.0
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- Datasets 5.0.0
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- Tokenizers 0.22.2
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