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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: immaculate-awr |
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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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# immaculate-awr |
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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: 0.001 |
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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: 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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### 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': {'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': 128, |
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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': 'immaculate-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_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': 6294, |
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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/1nozp91y |
