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  1. Plato_based_on_rugpt3large_based_on_gpt2/README.md +56 -0
  2. Plato_based_on_rugpt3large_based_on_gpt2/all_results.json +9 -0
  3. Plato_based_on_rugpt3large_based_on_gpt2/checkpoint-500/config.json +35 -0
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  13. Plato_based_on_rugpt3large_based_on_gpt2/checkpoint-500/trainer_state.json +40 -0
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  26. Plato_based_on_rugpt3large_based_on_gpt2/checkpoint-620/trainer_state.json +40 -0
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  32. Plato_based_on_rugpt3large_based_on_gpt2/model.safetensors +3 -0
  33. Plato_based_on_rugpt3large_based_on_gpt2/runs/Oct11_16-27-51_7cbffaa6c21d/events.out.tfevents.1728664105.7cbffaa6c21d.13207.0 +3 -0
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  40. Plato_based_on_rugpt3large_based_on_gpt2/vocab.json +0 -0
Plato_based_on_rugpt3large_based_on_gpt2/README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: sberbank-ai/rugpt3large_based_on_gpt2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: essays
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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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+ # essays
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+
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+ This model is a fine-tuned version of [sberbank-ai/rugpt3large_based_on_gpt2](https://huggingface.co/sberbank-ai/rugpt3large_based_on_gpt2) on an unknown dataset.
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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: 2
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 8
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+ - optimizer: Use adafactor and the args are:
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+ No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 10.0
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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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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.0.dev0
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.1
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+ "train_samples": 496,
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+ "train_samples_per_second": 0.814,
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+ "train_steps_per_second": 0.102
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+ }
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