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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-cond-25-0.25
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results: []
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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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# kejian/final-cond-25-0.25
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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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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0008
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- train_batch_size: 32
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 64
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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: 50354
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- mixed_precision_training: Native AMP
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### Framework versions
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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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# Full config
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{'dataset': {'conditional_training_config': {'aligned_prefix': '<|aligned|>',
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'drop_token_fraction': 0.25,
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'misaligned_prefix': '<|misaligned|>',
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'threshold': 0.000475},
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'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': 704,
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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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'prefix': '<|aligned|>',
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'use_prompt_for_scoring': False},
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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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'prefix': '<|aligned|>',
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'prompt_before_control': True,
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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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'prefix': '<|aligned|>'},
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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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'num_additional_tokens': 2,
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'path_or_name': 'codeparrot/codeparrot-small'},
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'objective': {'name': 'MLE'},
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'tokenizer': {'path_or_name': 'codeparrot/codeparrot-small',
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'special_tokens': ['<|aligned|>', '<|misaligned|>']},
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'training': {'dataloader_num_workers': 0,
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'effective_batch_size': 64,
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'evaluation_strategy': 'no',
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'fp16': True,
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'hub_model_id': 'kejian/final-cond-25-0.25',
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'hub_strategy': 'all_checkpoints',
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'learning_rate': 0.0008,
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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_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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# Wandb URL:
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https://wandb.ai/kejian/uncategorized/runs/ssntrqry
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