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ptsv/gpt2-m_simplewiki_upsampled_tom

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: openai-community/gpt2-medium
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: simplewiki_upsampled_tom
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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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ptsvil/tom-training/runs/keqgv1un)
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+ # simplewiki_upsampled_tom
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+
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+ This model is a fine-tuned version of [openai-community/gpt2-medium](https://huggingface.co/openai-community/gpt2-medium) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.1560
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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: 0.0001
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+ - train_batch_size: 32
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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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: linear
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+ - lr_scheduler_warmup_steps: 1
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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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+ | 4.0268 | 0.5387 | 20 | 3.4559 |
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+ | 3.3888 | 1.0774 | 40 | 3.2204 |
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+ | 3.2608 | 1.6162 | 60 | 3.1798 |
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+ | 3.0763 | 2.1549 | 80 | 3.1624 |
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+ | 3.0912 | 2.6936 | 100 | 3.1531 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.1
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+ - Pytorch 2.2.2
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+ - Datasets 2.18.0
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+ - Tokenizers 0.19.1
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