74 lines
2.1 KiB
Markdown
74 lines
2.1 KiB
Markdown
---
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library_name: transformers
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license: apache-2.0
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base_model: 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-instruct
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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-instruct
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.1097
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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: 3e-05
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- train_batch_size: 8
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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: 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: linear
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- num_epochs: 1
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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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| 3.6082 | 0.0757 | 200 | 3.4527 |
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| 3.4472 | 0.1514 | 400 | 3.3252 |
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| 3.3842 | 0.2271 | 600 | 3.2697 |
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| 3.3915 | 0.3027 | 800 | 3.2255 |
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| 3.3209 | 0.3784 | 1000 | 3.1980 |
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| 3.3036 | 0.4541 | 1200 | 3.1748 |
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| 3.2422 | 0.5298 | 1400 | 3.1566 |
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| 3.2840 | 0.6055 | 1600 | 3.1415 |
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| 3.2755 | 0.6812 | 1800 | 3.1303 |
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| 3.2236 | 0.7569 | 2000 | 3.1217 |
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| 3.1934 | 0.8325 | 2200 | 3.1143 |
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| 3.2567 | 0.9082 | 2400 | 3.1107 |
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| 3.2337 | 0.9839 | 2600 | 3.1097 |
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### Framework versions
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- Transformers 5.0.0
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- Pytorch 2.10.0+cu128
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- Datasets 4.8.5
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- Tokenizers 0.22.2
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