Update README.md
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README.md
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@@ -10,7 +10,120 @@ datasets:
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Training Dataset: Semant Search Summarization Dataset
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Training configuration
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```yaml
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```
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Example:
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Training Dataset: Semant Search Summarization Dataset
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Training configuration
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```yaml
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max_seq_len: 18000
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global_seed: 42
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# Run Name
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run_name: csmpt_summarization_d01 # If left blank, will be read from env var $COMPOSER_RUN_NAME
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# Model
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model:
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name: hf_causal_lm
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pretrained_model_name_or_path: BUT-FIT/csmpt7b
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init_device: cpu
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pretrained: true
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trust_remote_code: true
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config_overrides:
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max_seq_len: ${max_seq_len}
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attn_config:
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attn_impl: flash
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alibi: true
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resid_pdrop: 0.1
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tokenizer_name: BUT-FIT/csmpt7b
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dataset: &hf_dataset
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hf_name: BUT-FIT/CzechRAGSummarization
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decoder_only_format: true
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max_seq_len: ${max_seq_len}
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# Tokenizer
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tokenizer:
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name: BUT-FIT/csmpt7b
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kwargs:
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model_max_length: ${max_seq_len}
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# Dataloaders
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train_loader:
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name: finetuning
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dataset:
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<<: *hf_dataset
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split: train
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shuffle: true
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shuffle_seed: ${global_seed}
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drop_last: true
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num_workers: 8
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eval_loader:
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name: finetuning
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dataset:
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<<: *hf_dataset
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split: validation
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shuffle: false
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shuffle_seed: ${global_seed}
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drop_last: false
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num_workers: 2
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# Optimization
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scheduler:
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name: cosine_with_warmup
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t_warmup: 50ba
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alpha_f: 0.1
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optimizer:
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name: decoupled_lionw
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lr: 1.0e-5
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betas:
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- 0.9
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- 0.95
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weight_decay: 0.0
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algorithms:
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gradient_clipping:
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clipping_type: norm
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clipping_threshold: 5.0
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max_duration: 4500ba
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eval_interval: 200ba
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eval_first: false
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eval_subset_num_batches: -1
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global_train_batch_size: 64
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# System
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seed: ${global_seed}
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device_eval_batch_size: 2
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device_train_microbatch_size: 1
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# device_train_microbatch_size: auto
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precision: amp_bf16
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# FSDP
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fsdp_config:
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sharding_strategy: FULL_SHARD
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mixed_precision: PURE
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activation_checkpointing: true
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activation_checkpointing_reentrant: false
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activation_cpu_offload: false
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limit_all_gathers: true
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verbose: false
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backward_prefetch: BACKWARD_PRE
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# Logging
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progress_bar: true
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log_to_console: true
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console_log_interval: 1ba
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callbacks:
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speed_monitor:
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window_size: 10
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lr_monitor: { }
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memory_monitor: { }
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runtime_estimator: { }
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save_num_checkpoints_to_keep: 10 # Important, this cleans up checkpoints saved to DISK
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save_interval: 200ba
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save_folder: ./{run_name}/checkpoints
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```
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Example:
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