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update model card README.md

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+ ---
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+ language:
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+ - en
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - kejian/codeparrot-train-more-filter-3.3b-cleaned
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+ model-index:
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+ - name: kejian/final-awr
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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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+ # kejian/final-awr
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+
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+ This model was trained from scratch on the kejian/codeparrot-train-more-filter-3.3b-cleaned 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: 0.001
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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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+ - 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_ratio: 0.01
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+ - training_steps: 12588
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+ - mixed_precision_training: Native AMP
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+
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+ ### Framework versions
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+
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+ - Transformers 4.23.0
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+ - Pytorch 1.13.0+cu116
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+ - Datasets 2.0.0
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+ - Tokenizers 0.12.1
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+
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+
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+ # Full config
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+ {'dataset': {'datasets': ['kejian/codeparrot-train-more-filter-3.3b-cleaned'],
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+ 'is_split_by_sentences': True},
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+ 'generation': {'batch_size': 64,
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+ 'metrics_configs': [{}, {'n': 1}, {}],
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+ 'scenario_configs': [{'display_as_html': True,
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+ 'generate_kwargs': {'do_sample': True,
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+ 'eos_token_id': 0,
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+ 'max_length': 640,
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+ 'min_length': 10,
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+ 'temperature': 0.7,
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+ 'top_k': 0,
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+ 'top_p': 0.9},
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+ 'name': 'unconditional',
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+ 'num_samples': 512},
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+ {'display_as_html': True,
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+ 'generate_kwargs': {'do_sample': True,
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+ 'eos_token_id': 0,
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+ 'max_length': 272,
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+ 'min_length': 10,
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+ 'temperature': 0.7,
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+ 'top_k': 0,
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+ 'top_p': 0.9},
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+ 'name': 'functions',
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+ 'num_samples': 512,
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+ 'prompts_path': 'resources/functions_csnet.jsonl',
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+ 'use_prompt_for_scoring': True}],
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+ 'scorer_config': {}},
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+ 'kl_gpt3_callback': {'gpt3_kwargs': {'model_name': 'code-cushman-001'},
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+ 'max_tokens': 64,
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+ 'num_samples': 4096},
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+ 'model': {'from_scratch': True,
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+ 'gpt2_config_kwargs': {'reorder_and_upcast_attn': True,
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+ 'scale_attn_by': True},
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+ 'model_kwargs': {'value_head_config': {'is_detached': False}},
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+ 'path_or_name': 'codeparrot/codeparrot-small'},
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+ 'objective': {'alpha': 0.05, 'beta': 1, 'name': 'AWR'},
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+ 'tokenizer': {'path_or_name': 'codeparrot/codeparrot-small'},
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+ 'training': {'dataloader_num_workers': 0,
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+ 'effective_batch_size': 256,
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+ 'evaluation_strategy': 'no',
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+ 'fp16': True,
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+ 'hub_model_id': 'kejian/final-awr',
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+ 'hub_strategy': 'all_checkpoints',
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+ 'learning_rate': 0.001,
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+ 'logging_first_step': True,
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+ 'logging_steps': 1,
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+ 'num_tokens': 3300000000.0,
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+ 'output_dir': 'training_output',
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+ 'per_device_eval_batch_size': 16,
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+ 'per_device_train_batch_size': 16,
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+ 'push_to_hub': True,
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+ 'remove_unused_columns': False,
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+ 'save_steps': 5000,
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+ 'save_strategy': 'steps',
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+ 'seed': 42,
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+ 'warmup_ratio': 0.01,
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+ 'weight_decay': 0.1}}
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+
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+ # Wandb URL:
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+ https://wandb.ai/kejian/uncategorized/runs/3a8ddwg4