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End of training

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README.md ADDED
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+ ---
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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: constant_with_warmup_2000_9e-4_16b_w0.08
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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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+ # constant_with_warmup_2000_9e-4_16b_w0.08
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+
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+ This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.8710
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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: 0.0009
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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: 16
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+ - total_train_batch_size: 256
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: constant_with_warmup
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+ - lr_scheduler_warmup_steps: 250
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+ - training_steps: 2000
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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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+ | 6.293 | 0.7930 | 250 | 4.7425 |
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+ | 4.0889 | 1.5860 | 500 | 3.5180 |
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+ | 3.2871 | 2.3791 | 750 | 3.1743 |
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+ | 3.0032 | 3.1721 | 1000 | 3.0286 |
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+ | 2.8278 | 3.9651 | 1250 | 2.9422 |
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+ | 2.6539 | 4.7581 | 1500 | 2.9041 |
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+ | 2.5482 | 5.5511 | 1750 | 2.8808 |
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+ | 2.4602 | 6.3442 | 2000 | 2.8710 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.1
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
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+ }
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