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Training in progress, epoch 1

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README.md ADDED
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+ ---
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+ library_name: peft
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+ license: mit
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+ base_model: gpt2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: Se124M500KInfSimple
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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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+ # Se124M500KInfSimple
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+
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+ This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4881
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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: 5e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH 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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+ - mixed_precision_training: Native AMP
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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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+ | 0.1297 | 1.0 | 8317 | 0.5045 |
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+ | 0.1268 | 2.0 | 16634 | 0.4917 |
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+ | 0.1248 | 3.0 | 24951 | 0.4881 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.15.1
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+ - Transformers 4.51.3
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+ - Pytorch 2.6.0+cu118
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+ - Datasets 3.5.0
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+ - Tokenizers 0.21.1
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