* feat:add support dataset_num_processes * chore * required changes * requested chnages * required chnages * required changes * required changes * elif get_default_process_count() * add:del data * Update cicd/Dockerfile.jinja Co-authored-by: NanoCode012 <kevinvong@rocketmail.com> * Update cicd/single_gpu.py Co-authored-by: NanoCode012 <kevinvong@rocketmail.com> --------- Co-authored-by: salman <salman.mohammadi@outlook.com> Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>
49 lines
939 B
YAML
49 lines
939 B
YAML
# Example config for debugging the chat_template prompt format
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base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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model_type: LlamaForCausalLM
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tokenizer_type: LlamaTokenizer
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load_in_8bit: true
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load_in_4bit: false
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datasets:
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- path: fozziethebeat/alpaca_messages_2k_test
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type: chat_template
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shards: 10
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val_set_size: 0
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output_dir: temp_debug/axolotl_outputs/model
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dataset_prepared_path: temp_debug/axolotl_outputs/data
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dataset_num_proc: 1
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sequence_len: 4096
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sample_packing: false
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pad_to_sequence_len: true
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adapter: lora
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lora_model_dir:
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lora_r: 32
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lora_alpha: 16
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lora_dropout: 0.05
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lora_target_linear: true
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lora_fan_in_fan_out:
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micro_batch_size: 1
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num_epochs: 1
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max_steps: 10
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optimizer: adamw_bnb_8bit
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lr_scheduler: cosine
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learning_rate: 0.0002
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train_on_inputs: false
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group_by_length: false
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bf16: false
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fp16: true
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tf32: false
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gradient_checkpointing: true
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logging_steps: 1
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flash_attention: true
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warmup_steps: 10
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weight_decay: 0.0
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