nouamanetazi HF staff commited on
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Delete config_tiny_mistral.yaml

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  1. config_tiny_mistral.yaml +0 -90
config_tiny_mistral.yaml DELETED
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- checkpoints:
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- checkpoint_interval: 10
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- checkpoints_path: /fsx/nouamane/projects/nanotron/checkpoints
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- checkpoints_path_is_shared_file_system: false
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- resume_checkpoint_path: null
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- save_initial_state: false
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- data:
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- dataset:
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- dataset_overwrite_cache: false
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- dataset_processing_num_proc_per_process: 1
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- hf_dataset_config_name: null
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- hf_dataset_or_datasets: HuggingFaceH4/testing_alpaca_small
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- hf_dataset_splits: train
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- text_column_name: completion
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- num_loading_workers: 1
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- seed: 42
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- general:
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- benchmark_csv_path: null
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- consumed_train_samples: null
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- ignore_sanity_checks: false
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- project: debug
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- run: tiny_mistral
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- seed: 42
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- step: null
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- logging:
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- iteration_step_info_interval: 1
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- log_level: info
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- log_level_replica: info
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- model:
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- ddp_bucket_cap_mb: 25
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- dtype: bfloat16
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- init_method:
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- std: 0.025
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- make_vocab_size_divisible_by: 1
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- model_config:
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- bos_token_id: 1
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- eos_token_id: 2
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- hidden_act: silu
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- hidden_size: 16
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- initializer_range: 0.02
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- intermediate_size: 64
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- is_mistral_config: true
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- max_position_embeddings: 256
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- num_attention_heads: 4
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- num_hidden_layers: 2
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- num_key_value_heads: 4
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- pad_token_id: null
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- pretraining_tp: 1
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- rms_norm_eps: 1.0e-05
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- rope_scaling: null
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- tie_word_embeddings: true
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- use_cache: true
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- vocab_size: 256
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- optimizer:
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- accumulate_grad_in_fp32: true
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- adam_beta1: 0.9
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- adam_beta2: 0.95
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- adam_eps: 1.0e-08
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- clip_grad: 1.0
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- learning_rate_scheduler:
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- learning_rate: 0.0003
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- lr_decay_steps: 8
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- lr_decay_style: cosine
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- lr_warmup_steps: 2
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- lr_warmup_style: linear
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- min_decay_lr: 1.0e-05
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- torch_adam_is_fused: true
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- weight_decay: 0.01
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- zero_stage: 0
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- parallelism:
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- dp: 2
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- pp: 2
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- pp_engine: 1f1b
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- recompute_granularity: SELECTIVE
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- tp: 2
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- tp_linear_async_communication: true
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- tp_mode: REDUCE_SCATTER
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- profiler: null
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- tokenizer:
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- tokenizer_max_length: null
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- tokenizer_name_or_path: gpt2
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- tokenizer_revision: null
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- tokens:
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- batch_accumulation_per_replica: 1
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- limit_test_batches: 0
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- limit_val_batches: 0
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- micro_batch_size: 2
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- sequence_length: 32
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- train_steps: 10
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- val_check_interval: -1