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smaat-logistics-customer-support

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README.md ADDED
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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: distilgpt2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: results
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+ results: []
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+ ---
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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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+
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+ # results
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+
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+ This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6798
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 8
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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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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.6869 | 1.0 | 5702 | 0.6381 |
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+ | 0.5972 | 2.0 | 11404 | 0.6700 |
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+ | 0.5924 | 3.0 | 17106 | 0.6798 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.57.3
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+ - Pytorch 2.9.0+cu126
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+ - Datasets 4.0.0
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+ - Tokenizers 0.22.1
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+ },
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+ "layer_norm_epsilon": 1e-05,
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+ "problem_type": "single_label_classification",
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+ }
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+ "transformers_version": "4.57.3",
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+ "use_cache": true,
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+ }
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